Abstract
As a discipline of its own, the philosophy of science can be traced back to the founding of its academic journals, some of which go back to the first half of the twentieth century. While the discipline has been the object of many historical studies, notably focusing on specific schools (e.g., logical empiricism) or major figures of the field (e.g., Carnap, Kuhn), little work has focused on the journals themselves. Here, we investigate contemporary philosophy of science by means of computational text-mining approaches: we apply topic-modeling algorithms to eight major philosophy of science journals, from the 1930s up until 2017. Based on the full-text content of some 15,897 articles, we identified 25 research themes and 8 thematic clusters that show how the research agenda of the philosophy of science has changed in its content over the course of the last eight decades, up to the philosophy of science we now know. We also show how each one of the journals contributed in its own way to this thematic evolution.
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1 Introduction
The life of academic disciplines is closely tied to that of their journals. This is very much so in the natural sciences, but also in the human and social sciences where journals constitute one of the most significant venues for published research. The discipline of philosophy of science is no different: alongside monographs and edited volumes, disciplinary journals have become an increasingly important vehicle for research outcome over the past decades. While the boundaries with the broader discipline of philosophy may be quite permeable (Wray 2010), some journals have come to play a most central role in the development of the philosophy of science up to what it is today. This is for instance the case of journals such as Erkenntnis, Synthese or Philosophy of Science for which the first issues all go back to the 1930s, but also of several other journals that have been founded since—including the recently established European Journal for the Philosophy of Science—and which show the vitality of the discipline. The broader historical context in which these journals became established—such as the emergence of the Vienna Circle in the early twentieth century followed by the war-time emigration of some of its leading figures to America—certainly matters to situating the intellectual content of publications, and so does also the smaller-scale context of editorship and editorial decisions (Howard 2003; Reisch 2005 chap. 5; Beisbart et al. 2019). Importantly, the published articles and their content play a most central role when it comes to mapping out the diversity of research questions the philosophy of science has come to address over the years. As a complement to more traditional exegetic and historical approaches, we propose to apply computational text-mining approaches to examine the overall content of these journals with the objective of offering a large-scale and data-driven perspective on the research agenda of the philosophy of science as it has unfolded since the 1930s.
With such approaches, it indeed becomes possible to investigate the content of large corpora of full-text documents in a comprehensive and quantitative way, and from synchronic as well as diachronic perspectives. Initially developed in linguistics and natural language processing, computational textual analyses have been applied in many areas, including the natural sciences (as illustrations, see e.g., Valente et al. 2018; Luiz et al. 2019) and—as concerns us here—in history and philosophy (e.g., Mimno 2012; Murdock et al. 2017; Peirson et al. 2017; Barron et al. 2018; Pence and Ramsey 2018). While the journal Philosophy of Science has recently been characterized through topic-modeling analyses (Malaterre et al. 2019), we examine here a much broader and comprehensive corpus composed of the full-text content of 15,897 articles published by eight philosophy of science journals from 1934 up until 2017. These journals, which are among the most recognized journals that publish general philosophy of science research in English language, include: the British Journal for the Philosophy of Science, the European Journal for the Philosophy of Science, Erkenntnis, International Studies in Philosophy of Science, Journal for General Philosophy of Science, Philosophy of Science, Studies in History and Philosophy of Science (Part A), and Synthese.
To investigate the major research themes that interested philosophers of science from the 1930s up to now, we mobilized computational approaches—notably topic modeling algorithms—that could provide information about the semantic content of the entire corpus and its evolution over time. The results of our analyses document, in particular, the shift in topics in the philosophy of science, with a relative decrease of philosophy of language, logic and philosophy of physics articles over 80 years, and an increase in epistemology, philosophy of biology and of mind. Such quantitative data offer an empirical basis for what might otherwise be informal claims about the discipline and its evolution in the past eight decades as reconstructed from the perspective of its major journals. They are also the type of data that may trigger novel discussions about the directions the field might take.
In what follows, we explain the text-mining methodology that structured our analyses and describe the corpus that we used (Sect. 2; note that this section can be skipped by readers more interested in the results themselves). The topic-modeling results are then presented, with a discussion about their content, their relationship to one another and what can be inferred in terms of the diversity of research work published in philosophy of science journals (Sect. 3). We complement these results with diachronic analyses in order to examine how topics have evolved over time (Sect. 4). We then zoom in on journals and map their topical profile (Sect. 5). As a conclusion, we briefly discuss text-mining methodologies and the broader context of their application (Sect. 6).
2 Corpus and methodology
We usually do not use words at random, but mobilize them in specific combinations that not only respect the syntactical rules of the languages we adopt but also enable us to express ideas and convey meaning to others. Over and over, these combinations of words give rise to repeated patterns. Hence the intuition that examining these patterns may provide insights into the semantic content of the texts in which they occur. As the linguist John R. Firth used to say, “you shall know a word by the company it keeps” (1957, p. 11). This intuition is found at the basis of text-mining methods that mobilize computational tools to quantitatively examine the patterns of occurrences of terms within digitized sets of texts (e.g., Srivastava and Sahami 2009; Aggarwal and Zhai 2012). Because words are usually used in a coherent fashion across texts and authors, such approaches have shown to be very effective. One of them—called “topic-modeling”—makes it possible to identify sets of words that are often used together in similar circumstances across varying documents. Through careful examination of the meaning of their terms and the documents in which they occur, these sets of words can be interpreted as meaningful topics which, in turn, provide a topical perspective on the semantic content of the corpus being studied.Footnote 1 By considering metadata such as publication years or journals, additional analyses can be conducted that offer, for instance, diachronic views on the evolution of the corpus content over time or journal profiles in terms of topical content. Here, we applied these approaches to a set of major philosophy of science journals to identify their topical content and the evolution of that content over the past 80 years. The topic-modeling itself was carried out with an algorithm based on the well-established Latent Dirichlet Allocation (LDA) model (Pritchard et al. 2000; Blei et al. 2003) which is part of a broader family of statistical algorithms for topic discovery in texts (e.g., Griffiths and Steyvers 2004; Blei and Lafferty 2009; DiMaggio et al. 2013). Such approaches have two noteworthy characteristics: not only do they make it possible to gain semantic insights about corpora that would have been too large to investigate manually, but they also function in an unsupervised data-driven way, meaning that topics are identified on the basis of the word content of the corpus, without a priori knowledge of which topics might indeed be present (though such knowledge may prove useful to interpret results, as we will see below).Footnote 2 With LDA modeling, each topic is a probability distribution over the lexicon of the corpus—the lexicon being the set of all word types present across all documents of the corpus—and, in turn, each document is modeled by a probability distribution over topics. Any random document can then be thought of as being the result of multiple probabilistic word drawings according to the word probability distributions of topics, these topics also being drawn according to their own probability distribution within said document. The overall methodology we used here can be decomposed in five major stages:
(1) Corpus preparation. We constructed our corpus with the full-text content of the following 8 general philosophy of science journals: the British Journal for the Philosophy of Science, the European Journal for Philosophy of Science, Erkenntnis, International Studies in the Philosophy of Science, the Journal for General Philosophy of Science,Footnote 3Philosophy of Science, Studies in History and Philosophy of Science Part A and Synthese (see Table 1 for an overview; more details about each journal can be found in Appendix A). One may comment that philosophy of science is also published in other journals, be they more general philosophy journals (e.g. Mind), more specialized philosophy of science journals (e.g. Studia Logica, Hyle, Biology and Philosophy), or even science journals (e.g. Bioscience). Philosophy of science is also published in many non-English languages (e.g. Principia, Epistemologia, Philosophia Scientiae) and in numerous books and edited volumes. Needless to say, our ambition is not to cover the entirety of what has ever been published in philosophy of science. However, by focusing on the 8 major general philosophy of science journals in English language, we hope to provide more than a representative and useful perspective on the thematic content of philosophy of science and its evolution over the past 8 decades. The corpus that we settled on comprises 15,897 full-text articles from 1934 up until 2017, totaling over 62 million word occurrences (for an average word count of about 3912 words per article).Footnote 4 Whenever journals were published in several languages, we retained only those articles that were written in English due to algorithmic linguistic constraints.Footnote 5
(2) Preprocessing of textual data. This preprocessing aims at both removing elements that might create noise and optimizing the size of the data retained for analysis. As is considered best practice, we removed stop-words such as determinants, prepositions or pronouns with the assistance of a part-of-speech (POS) tagging algorithm that makes it possible to identify the morphosyntactic category of every word of the corpus. Here we used the Penn TreeBank POS tagging algorithm (Marcus et al. 1993) and only kept nouns, verbs, modals, adjectives, adverbs, proper nouns, and foreign words. On the basis of this POS tagging, we also lemmatized the textual data in order to reduce the number of word variants.Footnote 6 This was done using the TreeTagger algorithm (Schmid 1994). We furthermore filtered out words that occurred in fewer than 50 sentences in the corpus. These operations resulted in a lexicon of 22,958 distinct words distributed among over 1 million sentences of the 15,897 articles.
(3) LDA topic modeling. To carry out the topic-modeling itself, we used the Latent Dirichlet Allocation (LDA) algorithm, following (Blei et al. 2003) and (Griffiths and Steyvers 2004).Footnote 7 As mentioned above, LDA is a generative probabilistic computational method that models topics as probability distributions over words, and documents as probability distributions over topics. Given a hypothesized number K of topics, the algorithm starts with random probability distributions and iteratively adjusts these distributions (constrained by sparse Dirichlet priors) up until a convergence criterion is met. As with any other well-established topic-modeling approach, LDA assumes K is fixed beforehand. In the present case, the corpus included articles from 8 different journals over some 8 decades. This meant that, to present meaningful results both synchronically and diachronically, as well as overall and per journal, a fairly low value of K had to be chosen. After running different models and assessing them, we chose the value K = 25 topics.Footnote 8 Implementing the LDA algorithm on that basis thereby resulted in 25 topics and their probability distributions in each one of the 15,897 articles of the corpus.Footnote 9
(4) Topic interpretation and clustering. As mentioned above, the topics that result from an LDA topic modeling are probability distributions over the words of the corpus lexicon. By examining the words that have the highest probabilities, it is usually possible to identify the semantic content that these words are meant to convey in the corpus. This semantic content can be corroborated by examining the articles in which given topics are the most expressed. One may also look at topic-to-topic similarity (as measured by the distance between their respective probability distributions) and topic-to-topic correlation in documents as heuristics to help with the interpretation. Ultimately, interpreting a word-probability distribution results in giving it a meaningful label. Though manual, this stage is in practice highly constrained both by the sets of words that express topics and by the sets of documents in which they appear. In a second step, we ran clustering analyses to group topics into broader clusters, so as to facilitate their discussion. We did this by running a modularity analysis on the network graph of topic-to-topic (positive) correlations—following the approach of (Blondel et al. 2008; Lambiotte et al. 2008) as implemented in (Bastian et al. 2009)—which resulted in the identification of 8 clusters comprising between 2 and 5 topics each (we describe them below in Sect. 3).Footnote 10
(5) Topic analysis by time-period and by journal. The topics were further analyzed in light of two types of metadata: article publication years and journals. In order to provide a view on the temporal evolution of the relative frequency of topics over time, we segmented the corpus into 21 periods of 4 years each, from 1934 up until 2017, and computed, for every topic and time-period, the average probability of finding that topic in all articles of that time-period.Footnote 11 In parallel—and with a view to shed light on the specific topical profiles of the journals—we segmented the corpus per journal and computed, for every topic and journal, the average probability of finding that topic in all articles of that journal.Footnote 12
3 A topical perspective on philosophy of science
The topics that resulted from our topic-modeling analyses cover a broad range of themes that naturally make sense in the philosophy of science. Table 2 provides the list of the 25 topics, with their top-10 words. The 25 topics were grouped into 8 clusters following the modularity analyses we conducted on the graph of topic correlations in documents (as depicted in Fig. 1). For each topic, the top-10 articles in which the topic has the highest probability were retrieved so as to provide a representative basis; they are listed in Appendix B.
The first cluster–cluster A—relates to philosophy of logic and philosophy of language. It is the largest cluster and includes five topics. Two topics—Language and Sentence—are characteristic of philosophy of language themes, with such keywords as “language”, “sentence” or “meaning”, yet also with terms that denote philosophy of logic (such as “logical” or “predicate”). Representative articles include work on Carnap and translational indeterminacy, antinomies and designation, intensional/extensional definitions, as well as essays on demonstratives, indexicals, or reference among others. The topic Truth is closely related to research themes that belong to logic and philosophy of logic (with such keywords as “truth”, “proposition”, “logic”). This topic covers work on logical truth, modal logic, the meaning of logical constants or on vagueness, to name a few. The other two topics—Mathematical and Formal—appear more mathematical in scope (with keywords such as “mathematics”, “proof”, “axiom” or “set”, “function”, “theory”). They relate to research topics that concern the foundations of mathematics, arithmetics and geometry, Hilbert’s program, as well as set theory, topology, and how measurement relates to mathematical principles.
Cluster B includes three topics that denote research interests in scientific knowledge and, more generally, epistemology. Topic Knowledge includes such words as “belief”, “knowledge”, “epistemic” or “justification”, and is very much concerned with research in the theory of knowledge, as exemplified by articles on skepticism, infinitism, self-knowledge, doxastic justification, epistemic luck or testimony. Topic Scientific-theory appears more specifically centered on scientific knowledge and realism (with keywords such as “theory”, “scientific”, “theoretical”, “empirical” or “realism”). Some of its most representative articles include work on Kuhn, Laudan and scientific rationality, as well as on relativism, structural realism, and more generally scientific realism. The third topic—Arguments—is an ambivalent topic that may very well capture a real research interest on argumentation while at the same time denote a set of very commonly used terms in philosophy of science articles. Keywords indeed include what may look like very usual terms in the field, such as “argument”, “claim”, “say” or “question” (explaining, in part, the relatively high probability of the topic across the whole corpus, as can be seen by the relative size of the topic nodes on Fig. 1). Yet at the same time, the topic also denotes a specific research interest in argumentation, with representative articles that are about one-sided arguments, knockdown arguments, verbal disputes, counter-examples or non-argumentation.
Cluster C is about confirmation theory and comprises two topics. The first topic, Confirmation, includes terms such as “hypothesis”, “evidence”, “test” or “inference” and is most strongly found in several articles about Hempel’s and Goodman’s paradoxes, and, more generally, confirmation, induction, projection or entrenchment. The second topic, Probability, reflects the use of probability theory in certain philosophy of science articles. With keywords such as “probability”, “measure”, “chance”, or “distribution”, the topic is most characteristic of research work on such problems as Dutch book arguments, sleeping beauties, and Bayesianism more generally.
A nearby two-topic cluster concerns rational choice theory and related questions (cluster D). It includes topic Agent-decision (with keywords “action”, “agent”, “decision”, “choice”, “rational”, “moral”, “utility” among others) which is highly probable in articles that concern the prisoner’s dilemma, cooperation, coordination, free-riding, exploitation and related issues. The other topic—Game-theory—is closely related, with such terms as “model”, “game”, “strategy”, “player” or “equilibrium”, and notably denotes research on social interaction and communication in learning and knowledge formation.
Cluster E is more biological in nature and concerns work on evolutionary theory, mental states and the neurosciences. It includes three topics labeled Evolution, Mind and Neurosciences. Topic Evolution is denoted by such terms as “selection”, “population”, “organism”, “evolutionary” or “gene”, and is found with high probability in articles that concern the problem of the units of evolution, the question of biological individuality, heredity, fitness or the notion of species and gene, among others. This topic is clearly about philosophy of biology. The other two topics of the cluster are more similar and concern mind, cognition, psychology and the neurosciences in general. With keywords such as “experience”, “object”, “state”, “mental”, “perception” and “color”, topic Mind is characteristic of articles on representationalism, internalism, conceptual and nonceptual content and, more generally, on mental states. On the other hand, topic Neurosciences tends to characterize research on the cognitive architecture, on functional modularity, neural mechanisms, neurobiological activities, and the like that often mobilize such terms as “system”, “information”, “function”, “process”, “mechanism” or “cognitive”.
More general philosophy of science topics are found in cluster F, with Causation, Explanation and Property. Topic Causation is straightforwardly about causation, with such keywords as “causal”, “cause”, “effect”, “event” or “causation”, and is found in articles that investigate different aspects of causation, including probabilistic, counterfactual, interventionist accounts of causation, as well as questions about causal asymmetry, causal relata or contrastive causation. Likewise, Explanation is also a topic with a straightforward interpretation. Its top terms include “explanation”, “law”, “explain”, “account”, “phenomenon” and the topic is found in articles that examine the concept of scientific explanation in relationship, for instance, to the concepts of law of nature, deduction, mechanism, theoretical unification, or causal regularities. The third topic of cluster F is Property. With top-terms that include “property”, “object”, “relation”, “physical”, or “kind”, the topic concerns research that dwells on ontology, physicalism and related questions such as supervenience and emergence.
Philosophy of physics topics are found in cluster G. That cluster includes topic Particles which is characterized by such keywords as “theory”, “energy”, “experiment”, “chemical”, “atom”, or “electron”. Some of the key articles in which the topic is found concern research on certain particles such as positrons, neutrinos, electrons, and by ways of consequence on related phenomena—electrostatics, electromagnetism—as well as on energy and chemistry. With top-terms such as “state”, “quantum”, “system”, “particle” or “measurement”, the topic Quantum-mechanics picks out a class of research interests that clearly focus on quantum mechanics and related issues, with characteristic articles on the interpretation of quantum mechanics, on the questions of quantum decoherence, locality, the EPR paradox and quantum measurement. Topic Relativity—with keywords such as “space”, “time”, “field”, “relativity” or “Einstein”—is found in articles that investigate different aspects of special and general relativity theories, including questions about isotropy, synchronization, and also space–time. That topic is complemented by the very nearby topic Time (see Fig. 1), with top-terms such as “time”, “event”, “future”, “present” or “temporal”. Time appears to relate both to the physics of time—hence its proximity to Relativity—and to the metaphysics of time, with articles on McTaggart’s temporal series or on time travel.
The last cluster–cluster H—gathers three topics that have a more social or historical nature. With keywords that include “body”, “motion”, “force” but also “newton”, “galileo”, “aristotle”, “descartes” and “god”, topic Classics concern a broad range of work in the history of science, for instance on Galileo’s observations, on Descartes’ physics or on Newtonian mechanics. Topic Philosophy appears to characterize work that borders the domain of traditional philosophy or history of philosophy. The topic includes quite general terms such as “concept”, “nature”, “knowledge”, “science” as well as “world”, “idea” or “kant”, and is found in a broad variety of articles that range from Kant to Hegel and Whitehead. Finally, topic Social has a more science-studies connotation, as is apparent from some of its top-words: “science”, “social”, “research”, “work” or “study”. Related articles include research on the social organization of science, on scientific disciplines or on science museums, among many others.
4 Diachronic perspective (1934–2017)
Diachronic topical evolution can be studied by examining the probability of finding specific topics in articles that were published within specific temporal windows. Here, we segmented the corpus into 21 consecutive time-periods of 4 years each, from 1934 till 2017 (84 years in total) and quantified the relative probability in finding each one of the 25 topics in a given time-period (see Fig. 2). Since topics reveal words that tend to be used in similar patterns by philosophers of science in their essays throughout the corpus, topics also mirror the research interests of these same philosophers of science and the relative significance of these research interests within each time-period. At the topic-cluster level, maybe one of the most striking results of the analyses is the strong probability decrease of cluster H (that includes topics of a more social and historical nature) over time as well as of cluster A (philosophy of language and logic), while clusters that relate to knowledge and epistemology (cluster B), to the philosophy of biology and of the neurosciences (cluster E) and to explanation/causation (cluster F) tended to increase in probability in the corpus over time.
Within cluster A, it is mostly the topic Language that decreased in probability: while it was one of the most significant topics overall up until the 1960s, it continuously decreased from the 1970s onward. This trend is very much in line with what is well-known about the history of philosophy of science and the significance of logical empiricism in its early stages. Epistemology-related topics—cluster B—have generally increased in probability over time. In particular, topic Scientific-theory—which is about scientific knowledge and realism—has tended to increase from the 1970s, with a stabilization in the 2000s. Topic Knowledge itself—in the sense of theory of knowledge or epistemology—has seen a recent increase since the 2000s. As for the topic Arguments—which is a fairly dominant topic that can relate both to specialized research on argumentation and to the generic usage of “philosophical jargon”—one notes its increase since the mid-1950s and a leveling off from the 1980s onward.
Within cluster C—which is about confirmation theory broadly construed—, topic Confirmation had its heydays in the 1960s, whereas Probability has seen a more significant increase since the 2000s. This also shows in the publication dates of the topic most-closely related articles: whereas 6 of the top-10 articles for Confirmation were published before the 1970s, the trend is reversed for Probability which has 7 of the its top-10 articles published in the 2000s. It is as if research on these themes started in the 1950s–1960s by being framed in terms of confirmation problems or even paradoxes, and then turned to probability theory as a means of addressing such questions.
The evolution of the topics of cluster D—which concerns rational choice theory and related questions—is contrasted, though the cluster as a whole has been on the rise ever since the 1930s: whereas topic Agent-decision appears to signal a philosophical interest that has been more or less constant over time, topic Game-theory denotes a more recent field of investigation that really gained in popularity in the 2000s (all top-10 articles of that topic are posterior to 2000).
The overall probability of cluster E—about the philosophy of biology and the neurosciences—has been slightly increasing from the 1930s up to now, but with fluctuations between topics. For instance, Evolution was somehow present in the 1940s, then decreased in the 1950s–1970s, and started again to increase in the 1980s up untill today. This is consistent with (Byron 2007; Malaterre et al. 2019; Malaterre et al. 2020), who showed that philosophy of science was much concerned with biology-related questions quite early on, in the first half of the twentieth century, and then again starting from the 1980s onward with the establishment of a dedicated field of research. Topic Mind also appears to have followed a similar patter, though its increase in the more recent decades is not as significant, especially compared to topic Neurosciences that has strongly gained in momentum, especially since the 2000s, denoting a strong interest in the neurobiological mechanisms of mind and different mental phenomena.
Cluster F—which includes explanation/causation topics—also appears to have increased in probability over the eight decades of the study. Explanation had its heydays in the 1950s–1980s, and started picking up again in the 2000s. This is consistent with what is known of the field, for instance through Salmon’s Four decades of scientific explanation (Salmon 1989) and more recent work on mechanistic approaches to explanation and on reduction (as denoted by some of the top-10 articles of this topic). Interest in Causation developed in the 1980s—typically on counterfactual accounts and issues about causal asymmetry, possibly in the wake of problems encountered by non-causal models of explanation at that time—and continued to spark interest throughout the 2000s, especially on questions about probabilistic and interventionist accounts. While being somehow present in the corpus from the 1960s to the 1980s, topic Property really increased in probability throughout the 1990s and 2000s: 9 of its top-10 articles were published in the 2000s, in particular on issues about physicalism and supervenience.
Philosophy of physics topics—as defined by cluster G—have been quite prominent in the philosophy of science, yet with an overall slightly declining trend. Topic Particles denotes an interest in sub-atomic particles, chemistry, electromagnetism—among others—that was quite present in the 1950s–1960s and that dwindled thereafter (6 of the top-10 articles of that topic are from the 1960s and earlier). Philosophy of physics appears to have then focused more on relativity theory and quantum mechanics, as shown by the probability of topics Relativity and Quantum-theory. Interest in relativity theory was notably strong in the 1960s–1970s, with quantum mechanics picking-up more strongly in the 1990s (5 of its top-10 articles are from that period). Time, which is a topic highly correlated with Relativity (as shown in Fig. 1), appears to have been quite probable in the corpus early on in the 1950s, then decreased in probability from the 1970s onward and leveled out.
Cluster H—which is more social or historical in content compared to other topic clusters—appears to have been very significant in the first half of the twentieth century, and then decreased quite drastically. This trend is dominated by topic Philosophy—which we interpreted as denoting interest in traditional philosophy or history of philosophy—and, to a lesser extent, by topic Social, though the latter has seen a renewed interest more recently, especially from the 1990s onward (6 of its top-10 articles were published in the 2000s or after). By contrast, topic Classics—which notably concerns history of science figures or topics, among other more diverse themes—has remained relatively constant in probability all throughout the period.
5 The journals and their profiles
When analyzing the diachronic evolution of topics, one should bear in mind that the volume of publications—in the corpus—increased by a factor of 12 (from about 40 articles per year in the 1930s to about 500 in the 2010s).Footnote 13 This increase in publication volume resulted both from an increase in the number of philosophy of science journals and an increase in the yearly number of articles published by each journal (see Fig. 3). Erkenntnis, Philosophy of Science (PS) and Synthese were founded in the 1930s, followed by the British Journal for the Philosophy of Science (BJPS) in the 1950s, then the Journal for General Philosophy of Science (JGPS) and Studies in History and Philosophy of Science Part A (SHPSA) in the 1970s. In the 1980s, International Studies in the Philosophy of Science (ISPS) was created, and the 2010s saw the launch of the European Journal for Philosophy of Science (EJPS). Though Synthese now publishes two- to three-times more articles than either Erkenntnis or PS (likely due to the topical issues it also publishes), the three first-founded journals still accounted for about 2/3 of all articles in the 2010s. Historically, publications started mostly in German and Dutch, followed by English, in the 1930s. The advent of WWII led to a temporary decrease in publication volumes in the 1940s, followed by a relative stagnation throughout the 1950s. Publications then tripled from the 1960s to the 1980s, at the same time as the discipline of the philosophy of science underwent a strong professionalization (Howard 2003). This upward trend in publication volumes was however interrupted in the late 1980s and 1990s, before picking up again in the 2000s, while the volume of articles published in languages other than English dwindled down to zero. One possible explanation of this slight slump in the 1990s is the creation of specialized journals in several sub-disciplines of the philosophy of science, for instance in philosophy of physics (SHPS-Part B was launched in 1995), in philosophy of biology (Biology and Philosophy started in 1986, SHPS-Part C in 1998) or in other domains (e.g. History and Philosophy of Logic launched in 1980, Economics and Philosophy in 1985, Philosophy and Technology in 1988).Footnote 14
The topical profile we computed for each journal is shown in Fig. 4, while Fig. 5 depicts the diachronic evolution of these profiles. One should bear in mind that not all journals have the same publication span (see Table 1 above and Appendix A): some started in the 1930s such as Erkenntnis, others more recently, some even in the past decade such as the EJPS. Reassuringly from a methodological perspective, the composition and general evolution of topics for PS is fully consistent with what has been obtained independently in another study that focused on the sole corpus of PS (Malaterre et al. 2019).
One of the most striking results is that both Erkenntnis and Synthese have always had a relatively stronger content in topics related to philosophy of logic and philosophy of language—cluster A—compared to the other journals, with an overall probability of about 28% (Fig. 4). Even if the trend has been decreasing over the last decades—after a peak in the 1950s–1970s at about 40% for Synthese (see Fig. 5)—both journals continue today to publish articles that concern these topics at a level of about 20%. This could be explained by the logical empiricist mindset of the founding philosophers behind Erkenntnis—Carnap and Reichenbach in the 1930s, Hempel for the relaunching of the journal in the 1970s—and possibly, the logic-oriented specialty of Hintikka who served as editor of Synthese from 1965 till 2002. The overall trend across all journals has however been a decreasing one over the past decades, even very markedly so in the case of PS.
On the other hand, both Erkenntnis and Synthese display some of the smallest proportions of topics related to historical and social questions (cluster H), especially compared to such journals as ISPS, JGPS and especially SHPSA (for which these topics represent over 30% of the content). These results make sense given the broader positioning of these three journals: in addition to general philosophy of science, ISPS highlights an interest also for “philosophically informed history and sociology of science”, JGPS for “the social, historical and ethical dimensions of the sciences as the context for understanding current problems of philosophy of science” and SHPSA for “topical areas of historiography of the sciences, the sciences in relation to gender, culture and society and the sciences in relation to arts” (“International Studies in the Philosophy of Science: Aims & Scope | Taylor and Francis” 2020; “Journal for General Philosophy of Science: Aims and Scope | Springer” 2020; “Studies in History and Philosophy of Science Part A | Elsevier” 2020). Interestingly, the journals that have the lowest probabilities for these historical and social topics in the last decade (approx. 5%)—Erkenntniss, Synthese, PS and BJPS—displayed much higher probabilities for these same topics in the first half of the twentieth century (in the range of 25–35%). This marked trend was known in the case of PS (Malaterre et al. 2019), and has been explained, more generally, by such factors as changes in editorship, the professionalization of the discipline or even decisions made by funding agencies (Howard 2003; Douglas 2010; Vaesen and Katzav 2019). Note however that the present data show that journals such as ISPS, JGPS and SHPSA all have retained a significant proportion of these topics (between 19 and 31% in the last years). These findings thereby suggest that factors such as disciplinary professionalization or funding agencies policies—which should have affected research themes across the entire discipline, hence across all journals—did not play as significant a role as probably did editorial policies broadly speaking, including journal strategic positioning within the ‘academic market’ (as revealed by the participation of certain journals to specific academic conferences or by the journal presentation pages on publishers’ websites; see Appendix A), journal publication format (possibility of special issues, conference proceedings), topical choices made by editorial teams (determining, for instance through desk reject, which papers fall in and out of a given journal scope) or even reviewer choices by editorial teams (who may reproduce associative patterns).Footnote 15
Scientific knowledge and epistemology—as depicted by topics of cluster B—appear as the second most probable group of topics for both Erkenntnis and Synthese (with probabilities between 19 and 22%), after topics of cluster A in philosophy of language and logic. This is in line with the reputation of these journals as preferred venues for epistemology articles. Note however that these epistemic topics also have about the same high probabilities in ISPS, JGPS, SHPSA and in the recently launched EJPS (about 20%). Note also that the topics have tended to decrease in probability for PS and BJPS in the last 20 years, while increasing within Erkenntnis and Synthese.
Topics about probability and confirmation—cluster C—tend to be more present in the profiles of BJPS, PS and EJPS than in the other journals, with a probability of about 10%. The diachronic evolution shows a probability increase in the 1960s–1970s, even up to 15% for BJPS, followed by a slight decrease and relative stagnation thereafter.
Overall, topics of cluster D, which broadly speaking concern rational choice, appear to be comparatively more probable in EJPS than elsewhere (about 10%), followed by Erkenntnis and Synthese (as depicted in Fig. 4). The diachronic profiles (Fig. 5) show that these topic probabilities also tended to increase in other journals, notably in PS, in the recent years.
The cluster of topics that concern mind, the neurosciences and biology—cluster E—has a more marked presence in PS, EJPS and BJPS (at about 13%) than in the other journals. This is notably true for the biology-related topic for which the probability has been especially increasing since the 1990s. Yet, it is interesting to note that the topics of this cluster were also quite strongly present in the first half of the twentieth century, in PS, Synthese and Erkenntnis, and even in BJPS in the 1950s, which is consistent with other studies (Byron 2007; Nicholson and Gawne 2015; Malaterre et al. 2019). Note also that the creation of SHPS-Part C in 1998 could explain the relative drop in probability of this cluster of topics within SHPS-Part A in the late 1990s, from about 9% down to 5%, though that probability slowly rose back again to about 9% in the last decade.
EJPS, ISPS and Erkenntnis are the journals in which topics that concern causation, explanation and ontology—tend to be the most probable, at a level of about 12–14% (cluster F). These topics are also found in the other 5 journals, though, comparatively, at a slightly lesser level.
Journal profiles with respect to physics-related topics—cluster G—are more marked, with journals such as BJPS exhibiting a probability of over 20% in these topics, followed by EJPS, ISPS and PS at about 17%. By comparison, the probability of these physics topics is much less dominant within Erkenntnis or Synthese, at about 8% overall, even showing a slightly decreasing trend over the last decades. This trend is even more significant for SHPSA, with a marked step in the late 1990s when SHPS was split into SHSP-Part A (general philosophy and history of science) and SHPS-Part B (philosophy of modern physics).
6 Conclusion
Over the eight decades that span from its infancy as a discipline to its present day, the philosophy of science has incurred significant changes in its research agenda. The text-mining analyses we conducted on the full-text content of eight major general philosophy of science journals reveal the large-scale topical developments of the field as reflected by the publications in these journals. Broad trends are clearly visible, notably the decrease of philosophical work of a more social and cultural nature in the 1950s, then compensated by the rise of research themes that concerned philosophy of logic and language, these themes then decreasing in the 1970s–1980s, followed by topics about confirmation in the 1980s and philosophy of physics in the 1990s–2000s, though to a lesser extent. Meanwhile, other research themes have flourished in the last four decades, notably in domains that concern scientific knowledge and epistemology, rational choice, philosophy of mind and of biology, as well as topics that concern causation, explanation and ontology: accounting for about only 25% of topic probability in the 1930s, these research themes increased to a level of about 65% lately.
The analyses also show similarities and differences between journals, both in terms of their overall content and of their diachronic evolution. Of course, the number of publications has literally exploded in 80 years, increasing more than ten-fold, novel journals being also founded at several points in time. It is also likely that journals have become an increasingly significant avenue for communicating research to peers, especially compared to books in particular, due to rising concerns about publication speed. Journal history—and the history of their semantic content—has thus become an integral part of the history of the discipline, and much still remains to be investigated.
Of course, the results should always be interpreted in light of a proper understanding of what text-mining methods can and cannot do. As explained earlier (see Sect. 2), LDA topic-models are probability distributions calculated on the basis of how words are distributed within documents in the corpus: topics are probability distributions over words while documents are modeled as probability distributions over topics. The topical content of a document can thereby be understood as resulting from drawing topics according to the probabilities assigned by the topic-model. Yet topic-models remain silent over the reasons why specific topics are likely to be found together. They also cannot reveal the argumentative relationships that topics may entertain in specific articles, nor can they give explanations about why specific topics did change over time—for instance, due to their contextual relevance in light of scientific advances, the maturity of certain lines of inquiry, or simply editorial policies or other pragmatic factors. One should also bear in mind that text-mining results depend, to a certain extent, on choices among many equally valid modeling options, often balanced by expert-judgement. This is for instance the case with the chosen number of topics K as mentioned above, or with the delicate task of topic interpretation. Yet, topic modeling algorithms in general and LDA in particular are well-established approaches to textual analysis that have been tested in many occasions. LDA topic-modeling has notably been shown to be a very reliable algorithmic tool for identifying topics in large textual corpora (e.g., Griffiths and Steyvers 2004; Blei and Lafferty 2009; DiMaggio et al. 2013).
Indeed, one of the most significant characteristics of computational text-mining methodologies is the possibility to deploy them to analyze very large corpora of full-text documents that would otherwise have been out of reach if done by hand. Another is that, thanks to their being quantitative and unsupervised, they provide perspectives that are complementary to classical historical or exegetic methods. They also provide the type of data that contributes an empirical basis for what might otherwise be informal claims—in the present case, claims about the evolution of a field broadly speaking or of some of its specific research themes. In a sense, these methods provide novel ways of answering old questions. But they also open up novel ways of asking novel questions: they have a heuristic value in that they provide insights about trends and patterns to be further investigated, notably with the more classical historical and analytical approaches of the philosophical methodology. Topic-models reveal topical patterns in corpora—such as temporal variations in topic prevalence or specific journal profiles—that can in turn be questioned and formulated as explananda worth enquiring about. As we hope to have shown, text-mining approaches are powerful tools to investigate the broader history of the philosophy of science, how this field has developed and flourished over the course of the past eight decades and how its journals have contributed to this history. No doubt much remains to be uncovered.
Notes
Note that metaphoric language and homonymy may affect the effectiveness of such tools as topic-modeling. Yet, depending on how it is implemented, topic-modeling can be used to reveal distinct meanings and contexts associated to specific terms.
As with any quantitative approach, results depend on different technical choices among many equally valid options, but ones that are more or less fit for purpose. These options appear at different stages of the methodology, including iterative rounds of parameter settings, simulations and results inspections (Von Luxburg et al. 2012; Hu et al. 2014).
The Journal for General Philosophy of Science was founded in 1970 under the name Zeitschrift für allgemeine Wissenschaftstheorie/Journal for General Philosophy of Science. The journal renamed itself Journal for General Philosophy of Science/Zeitschrift für allgemeine Wissenschaftstheorie in 1990, and then simply Journal for General Philosophy of Science in 2014, which is the name we use here (or JGPS in short).
This set of articles only includes regular articles, meaning that we excluded book-reviews, editorials, errata, and very short texts such as discussion notes (less than 4,000 characters). The articles were downloaded from JSTOR and the publishers Internet platforms: Elsevier, Oxford University Press, Springer, Taylor and Francis and University of Chicago Press.
This decision led us to set aside 1015 other articles (72% of which were in German, 17% in Dutch and 11% in French). About 44% of these articles were published in the 1930s–1940s. During these decades, non-English articles represented 41% of publications, but this share substantially decreased over time, down to 2% from the 1990s onward, resulting in an average of about 6% over the 8 decades. Non-English articles might therefore impact our topical analyses about the first two decades (actually, the first and a half decade, as the real cut-off date is WWII), though their impact on the overall study will be minimal.
Lemmatization consists of replacing inflected forms of words by their lemma—or what may be called their “dictionary form”—on the basis of their intended meaning (for instance, replacing “explains” and “explained” by “explain”).
The LDA was performed through an API for Python (see: https://pythonhosted.org/lda/api.html).
Depending on the size of the textual data, tools may be used as heuristics to assess optimal K values, for example coherence measures, perplexity or even rate of perplexity change (Röder et al. 2015; Zhao et al. 2015). These heuristics are however limited and, in practice, the proper number K of topics is usually assessed by expert judgment and manual inspection of topics, as well as, most importantly, by the objectives of the study. In the present case, the textual data was too large to run such heuristic tools and we proceeded by expert judgment (comparing the resulting topics of several models at 10, 25, 50, 100, 180, 200, 250, notably in terms of interpretability and non-redundancy), based also on the types of analyses we then hoped to conduct. From experience, opting for one value of K instead of another only marginally affects the overall results. Usually, increasing K results in more details and more specific topics. Yet lower K values are helpful to zoom out of the details and provide larger-grained views. Hyperparameters were set at alpha = 0.4 and beta = 0.01.
More specifically, a word × article matrix W = [wij]M×N can be built from the textual data (where M = 22,958 is the size of the corpus lexicon, N = 15,897 is the number of articles, and wij is the frequency of word i in article j). LDA modeling estimates optimal values for two major probability matrices: Φ = [Pr(w|z)]MxK where Pr(w|z) is the probability of finding word w in topic z, and Θ = [Pr(z|s)]KxN where Pr(z|d) is the probability of finding (words that express) topic z in document d. Whereas matrix Φ indicates which word distributions best express a given topic, matrix Θ indicates which topics are the most significant in each article. Mathematically, it can be shown that Φ and Θ on the one hand (which are “latent” or initially unknown) and W on the other (which is known) are linked. The probability distributions being constrained by sparse Dirichlet priors, the iterative procedure followed by LDA modeling consists in solving an optimization problem and encodes the intuition that topics are usually strongly expressed by a few words and that documents only express just a few topics at a time.
There are multiple ways of clustering topics, especially depending on the expected end-result granularity. Here, we first calculated the Pearson correlation of topics on the basis of their probability distribution within articles (in other words, articles are more correlated when they tend to appear together in the same articles). We used this topic-to-topic correlation to construct a graph in which nodes are topics and edges correlations; we pruned the edges by setting a minimal threshold value, so as to only keep the most significant ones and we ran a modularity analysis (see Fig. 1 below). When running this analysis, modularity parameters can be adjusted so as to result in fewer or more clusters. Here, our clustering was constrained by the objective to have a manageable number of clusters (i.e., less than 10) while at the same time providing useful clusters based on topic interpretation. Using our best judgment, we settled on a model with 8 clusters.
This choice of 4-year periods was driven by the wish to average out year-to-year topic fluctuations (notably due to special issues) while keeping a fairly fine-grained temporal view.
More specifically, for every topic z and time-period p, we computed the average probability Pr(z|p) of finding topic z in all articles of time-period p. This resulted in populating a new matrix Ω = [Pr(z|p)]K×T where K = 25 is the number of topics and T = 21 is the number of time-periods. In addition, for every topic z and journal j, we computed the average probability Pr(z|j) of finding topic z in all articles of journal j. This resulted in matrix Δ = [Pr(z|j)]K×J where K = 25 is the number of topics and J = 8 is the number of journals.
Remember that the corpus only includes research articles in English language from the 8 major philosophy of science journals we focused on. When considering articles published in German, Dutch and French by these same 8 journals, the yearly publication volume increases by a factor of 6 from the 1930s till the 2010s, which is still significant. Figure 4 includes a specific data line for articles in languages other than English.
Note that some specialized journals were also founded earlier (e.g., Philosophy of the Social Sciences in 1971, History and Philosophy of the Life Sciences in 1979) or later (e.g., Biological Theory in 2005, Philosophy and Theory in Biology—now Philosophy, Theory, and Practice in Biology—in 2009), showing the need for a more thorough investigation of the reasons for the publication volume decrease we observed in the corpus in the 1990s.
Numerous other factors may influence choice of publication venues by authors, including journal impact factor, perceived reputation, personal acquaintances with editorial team members, publication frequency, publication cost and open access strategies, publication design and layout, perceived journal audience, submission-to-publication lead-time, distribution network or even availability of data repositories. However, the extent to which such additional factors may influence topic distribution across journals is less immediate.
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Acknowledgements
The authors are grateful to JSTOR, Elsevier, Oxford University Press, Springer, Taylor and Francis, and University of Chicago Press for providing access to journal articles for text-mining purposes. They thank Oliver Lean, Charles Pence and Luca Rivelli for comments on an earlier version of the manuscript, as well as the audience of a 2019 TEC seminar at UQAM where this work was presented. They also thank the reviewers at Synthese for their valuable comments. Funding from Canada Foundation for Innovation (Grant 34555) and Canada Research Chairs (CRC-950-230795) is gratefully acknowledged. F.L. acknowledges funding from the Fonds de recherche du Québec - Société et culture (FRQSC-276470).
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C.M. conceived the study, analyzed the results, wrote and revised the manuscript. F.L. prepared the corpus, ran the LDA analyses, contributed to the methodology section and revised the manuscript. D.P. and J.S–O. contributed to the corpus preparation and revised the manuscript.
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Appendices
Appendix A: Table of the publication profiles of the 8 selected general philosophy of science journals
Journal | Publication dates | Affiliation/editorship/publisher | Profile (as described on journal websites, in editorials or other sources) |
---|---|---|---|
British Journal for the Philosophy of Science (BJPS) | 1950—present | Owned by the British Society for the Philosophy of Science (BSPS, founded in 1948 as a Philosophy of Science Group for the British Society for the History of Science, and reconstituted with its present name in 1959). Past editors include J. O. Wisdom, A. Bird, P. Clark, M. Hesse, J. Ladyman, I. Lakatos, and D. Papineau. (“British Journal for the Philosophy of Science | Wikipedia” 2020) Current editors: S. French, W. Parker Current publisher: Oxford University Press | The journal “publishes work that uses philosophical methods in addressing issues raised in the natural and human sciences” (“British Journal for the Philosophy of Science | Wikipedia” 2020) BJPS publishes “international work in the philosophy of science” on a “variety of traditional and ‘cutting edge’ topics, from issues of explanation and realism to the applicability of mathematics, from the metaphysics of science to the nature of models and simulations, as well as foundational issues in the physical, life, and social sciences. Recent topics covered in the journal include the epistemology of measurement, mathematical non-causal explanations, signalling games, the nature of biochemical kinds, and approaches to human cognitive development, among many others.” (“British Journal for the Philosophy of Science: About | OUP” 2020) |
Erkenntnis | 1930—1940; 1975—present | Originally created by R. Carnap and H. Reichenbach when they took charge of Annales der Philosophie that they renamed Erkenntnis; interrupted by WWII; revived in 1975 by C. G. Hempel, W. Stegmüller, and W. K. Essler (“Erkenntnis | Wikipedia” 2019) Current editors: H. Leitgeb, H. Rott, and W. Spohn Published by Felix Meiner (Germany) from 1930 to 1936, then van Stockum (The Netherlands). Current publisher: Springer | “An International Journal of Scientific Philosophy”, Erkenntnis publishes “papers committed in one way or another to the philosophical attitude which is signified by the label ‘scientific philosophy’”, in fields inspired by this attitude: “Epistemology, philosophy of science […], philosophy of mathematics, logic […], philosophy of language, ontology, metaphysics […], philosophical psychology, philosophy of mind, neurophilosophy, practical philosophy, i.e. ethics, philosophy of action, philosophy of law.” (“Erkenntnis: Aims and Scope | Springer” 2020) The journal also was linked to the organisation of conferences (e.g. “Second Conference on the Epistemology of the Exact Sciences”, of which it published papers and discussions) (“Erkenntnis | Wikipedia” 2019) “As Reichenbach noted in his introduction to the first issue, the editors of Erkenntnis were concerned to carry on philosophical inquiry in close consideration of the procedures and results of the various scientific disciplines (Hempel 1975, p. 1). For Hempel, philosophy of science in the 1970s was influenced by thinkers who were themselves “committed to careful analytic investigation and to precise reasoning in support of their ideas, and who hold that sound philosophical inquiry must be informed by adequate knowledge of the scientific disciplines that may be relevant to the subject under investigation” (1975, p. 3). He further argued that the “proper characterization and understanding of the nature and change of scientific knowledge requires explicit reference to certain historical and sociological aspects of the scientific enterprise” (1975, p. 4) |
European Journal for Philosophy of Science | 2011—present | Founded in 2011 by the European Philosophy of Science Association (EPSA) Current editors: F. Russo and P. Illari Publisher: Springer | Publishes “works that can deepen understanding of the concepts and methods of the sciences, as they explore increasingly many facets of the world we live in. It is of direct interest to philosophers of science coming from different perspectives, as well as scientists, citizens and policymakers. The journal is interested in articles from all traditions and all backgrounds, as long as they engage with the sciences in a constructive, and critical, way. The journal represents the various longstanding European philosophical traditions engaging with the sciences, but welcomes articles from every part of the world.” (“European Journal for Philosophy of Science | Springer” 2020) Publishes selected papers from the biennial conferences of the EPSA. (“European Journal for Philosophy of Science | EPSA” 2020) |
International Studies in the Philosophy of Science | 1986—present | Founded in 1986 Current editor: V. Kindi Published by Routledge, then Taylor and Francis (which acquired Routledge in 1998) | Publishes work “in philosophy of science and in philosophically informed history and sociology of science. Its scope includes the foundations and methodology of the natural, social, and human sciences, philosophical implications of particular scientific theories, and broader philosophical reflection on science”. Invites contributions “not only from philosophers, historians, and sociologists of science, but also from researchers in the sciences. The journal publishes articles from a wide variety of countries and philosophical traditions” (“International Studies in the Philosophy of Science: Aims & Scope | Taylor and Francis” 2020) Initially founded to publish articles from the seminars held at the Inter-University Centre for Postgraduate Studies in Dubrovnik (former Yugoslavia, now Croatia) following an initiative of I. Supek to promote academic dialogue between philosophers of science from western and eastern Europe (Newton-Smith and Wilkes 1986). Started accepting other research articles in 1990. |
Journal for General Philosophy of Science | 1970—present | Founded by A. Diemer, G. König and L. Geldsetzer. Past editors include also: G. Schiemann, U. Krohs. Current editors: C. Beisbart, T. Reydon, H. Pulte Published by Steiner (1970–1990), Kluwer (1990–2005), and now Springer (which acquired Kluwer in 2005) | “Its subject matter encompasses both general philosophy of science and the specialized philosophies of particular areas of science, such as the philosophy of physics, the philosophy of biology, the philosophy of the social sciences, and the philosophies of the humanities. Published articles cover the methodological, ontological, and epistemological aspects of these areas of science and science in general. JGPS considers also the social, historical and ethical dimensions of the sciences as the context for understanding current problems of philosophy of science.” (“Journal for General Philosophy of Science: Aims and Scope | Springer” 2020) Initially published under the title Zeitschrift für allgemeine Wissenschaftstheorie—Journal for General Philosophy of Science; became Journal for General Philosophy of Science—Zeitschrift für allgemeine Wissenschaftstheorie in 1990: “From the very beginning, the English subtitle (which is now the main title) indicated that the journal was meant to be international; in fact, manuscripts written in German, English and French were considered for publication. The journal was further intended to provide a forum for various intellectual traditions and sub-disciplines of the philosophy of science. It was of special importance to the founding editors to represent both the more analytical tradition of the philosophy of the natural sciences and the more hermeneutical tradition of the philosophy of the humanities” (Beisbart et al. 2019, p. 1). “We take the term “general” in the name of the journal to reflect […] the commitment to be open to all approaches in the philosophy that strive for a better philosophical understanding of the various disciplines of the sciences and the humanities, their practices and their findings. In particular, we wish to be open to voices that diverge from “mainstream” and that introduce new perspectives” (2019, p. 7) |
Philosophy of Science | 1934—present | Owned by the (American) Philosophy of Science Association (PSA) Past editors include: C. W. Churchman, R. Rudner, K. Schaffner (Howard 2003) Current editor: A. Woody Current publisher: University of Chicago Press | The journal “has been dedicated to the furthering of studies and free discussion from diverse standpoints in the philosophy of science.” (“Philosophy of Science: About | UCP” 2019) Its first editor, William Malisoff sought papers ranging from studies on “the analysis of meaning, definition, symbolism,” in scientific theories to those on “the nature and formulation of theoretical principles” and “in the function and significance of science within various contexts.” (Malisoff 1934, pp. 3–4). Publishes proceedings of the bi-annual PSA meetings (PSA: Proceedings ran in parallel to PS from 1970 to 1994, then jointly) (“Philosophy of Science: About | UCP” 2019) |
Studies in History and Philosophy of Science – Part A | 1970—present | Established in 1970 under the name SHPS. Split into Part A and Part B in 1995. Part C created in 1998 Current editor: D. P. Rowbottom Published by Elsevier | SHPSA “is devoted to the integrated study of the history, philosophy and sociology of the sciences. The editors encourage contributions both in the long-established areas of the history of the sciences and the philosophy of the sciences and in the topical areas of historiography of the sciences, the sciences in relation to gender, culture and society and the sciences in relation to arts.” (“Studies in History and Philosophy of Science Part A | Elsevier” 2020) SHPS was “established in 1970 as a single journal, and was split into two sections–Studies in History and Philosophy of Science Part A and Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics–in 1995. In 1998, a third section, Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences, was created.” (“Studies in History and Philosophy of Science | Wikipedia” 2020) |
Synthese | 1936—1939, 1946—1949, 1955—present | Founded in 1936 in The Netherlands Past editors include J. Hintikka from 1965 to 2002 Current editors: O. Bueno, C. D. Novaes, W. van der Hoek, K. Miller Current publisher: Springer | “An international journal for epistemology, methodology and philosophy of science”, Synthese focuses on “contemporary issues in epistemology, philosophy of science, and related fields. More specifically, we divide our areas of interest into four groups: (1) epistemology, methodology, and philosophy of science, all broadly understood. (2) The foundations of logic and mathematics, where ‘logic’, ‘mathematics’, and ‘foundations’ are all broadly understood. (3) Formal methods in philosophy, including methods connecting philosophy to other academic fields. (4) Issues in ethics and the history and sociology of logic, mathematics, and science that contribute to the contemporary studies Synthese focuses on, as described in (1)–(3) above.” (“Synthese | Springer” 2019) Published articles include specific treatment of methodological issues in science such as induction, probability, causation, statistics, symbolic logic, linguistics and ethics. The name Synthese (from the Dutch for synthesis) finds its origin in the intentions of its founding editors: making explicit the supposed internal coherence between the different, highly specialised scientific disciplines.” (“Synthese | Wikipedia” 2020) Hintikka complained about the “argumentative turn” in philosophy of science, and introduced a novel section “problems of philosophy” (Hintikka 1997) “Synthese is a journal for epistemology, logic and philosophy of science, thus not a general philosophy journal, let alone one meant only for an in-house audience of philosophers. Rather, Synthese is a journal devoted to interdisciplinary philosophical inquiry in which the use of methods from the sciences is found at center stage.” (van Benthem et al. 2008, p. 2) |
Appendix B: Table of the top-10 articles for each topic. This list includes, for each topic, the 10 articles in which that topic is the most expressed (in the sense of having of highest probability)
Topic | Top-10 articles |
---|---|
A-Formal (23) | Normann, Dag. “On Abstract 1-Sections.” Synthese 27, no. 1/2 (1974): 259–263 Lenker, Terry D and Richard St. André. “Near Orderings of Topological Spaces.” Synthese 55, no. 3 (1983): 327–331 Friedman, Joel. “The Universal Class Has a Spinozistic Partitioning.” Synthese 32, no. 3/4 (1976): 403–418 Mikulás, Szabolcs. “The equational theories of representable residuated semigroups.” Synthese 192, no. 7 (2015): 2151–2158 Bell, J. L. “Categories, Toposes and Sets.” Synthese 51, no. 3 (1982): 293–337 Colonius, Hans. “On Weak Extensive Measurement.” Philosophy of Science 1, no. 2 (1978): 303–308 Narens, Louis. “Measurement without Archimedean Axioms.” Philosophy of Science 1, no. 3 (1974): 374–393 Jensen, Ronald Björn. “On the Consistency of a Slight (?) Modification of Quine’s “New Foundations”.” Synthese 19, no. 1/2 (1968): 250–264 Mansfield, Richard and John Dawson. “Boolean-Valued Set Theory and Forcing.” Synthese 33, no. 1 (1976): 223–252 Hansson, Bengt. “Choice Structures and Preference Relations.” Synthese 18, no. 4 (1968): 443–458 |
A-Language (17) | Cartwright, Richard L. “Comments on Dr. Hochberg’s Paper.” Philosophy of Science 1, no. 3 (1956): 260–265 Linsky, Leonard. “Some Notes on Carnap’s Concept of Intensional Isomorphism and the Paradox of Analysis.” Philosophy of Science 1, no. 4 (1949): 343–347 Reach, K. “The Name Relation and the Logical Antinomies.” Erkenntnis 7, no. (1937): 236–240 Hochberg, Herbert. “The Ontological Operator.” Philosophy of Science 1, no. 3 (1956): 250–259 Matheson, Gordon. “The Antinomy of Designation.” Philosophy of Science 1, no. 3 (1959): 260–269 Moreno, Luis Fernández. “Tarskian Truth and the Correspondence Theory.” Synthese 126, no. 1/2 (2001): 123–147 Berge, William H. “Carnap and Translational Indeterminacy.” Synthese 105, no. 1 (1995): 115–121 Lavers, Gregory. “Carnap, Semantics and Ontology.” Erkenntnis 60, no. 3 (2004): 295–316 Keuth, Herbert. “Tarski’s Definition of Truth and the Correspondence Theory.” Philosophy of Science 1, no. 3 (1978): 420–430 Bergmann, Gustav. “Descriptions in Nonextensional Contexts.” Philosophy of Science 1, no. 4 (1948): 353–355 |
A-Mathematical (5) | Giovannini, Eduardo. “Bridging the gap between analytic and synthetic geometry: Hilbert’s axiomatic approach.” Synthese 193, no. 1 (2016): 31–70 Alvarez, Carlos. “Two Ways of Reasoning and Two Ways of Arguing in Geometry. Some Remarks concerning the Application of Figures in Euclidean Geometry.” Synthese 134, no. 1/2 (2003): 289–323 Hartimo, Mirja and Mitsuhiro Okada. “Syntactic reduction in Husserl’s early phenomenology of arithmetic.” Synthese 193, no. 3 (2016): 937–969 Lorenzen, Paul. “Constructive and Axiomatic Mathematics.” Synthese 12, no. 1 (1960): 114–119 Hartimo, Mirja Helena. “From Geometry to Phenomenology.” Synthese 162, no. 2 (2008): 225–233 Hartimo, Mirja Helena. “Towards Completeness: Husserl on Theories of Manifolds 1890-1901.” Synthese 156, no. 2 (2007): 281–310 Gauthier, Yvon. “Hilbert and the Internal Logic of Mathematics.” Synthese 101, no. 1 (1994): 1–14 Bråting, Kajsa and Johanna Pejlare. “Visualizations in Mathematics.” Erkenntnis 68, no. 3 (2008): 345–358 Webb, Judson C. “Hilbert’s Formalism and Arithmetization of Mathematics.” Synthese 110, no. 1 (1997): 1–14 Shabel, Lisa. “Kant on the ‘symbolic construction’ of mathematical concepts.” Studies in History and Philosophy of Science Part A 29, no. 4 (1998): 589–621 |
A-Sentence (6) | Corazza, Eros. “Complex Demonstratives Qua Singular Terms.” Erkenntnis 59, no. 2 (2003): 263–283 McKinsey, Michael. “Mental Anaphora.” Synthese 66, no. 1 (1986): 159–175 Bach, Kent. “Referential/Attributive.” Synthese 49, no. 2 (1981): 219–244 Corazza, Eros. “Temporal Indexicals and Temporal Terms.” Synthese 130, no. 3 (2002): 441–460 Voltolini, Alberto. “Can There Be a Uniform Application of Direct Reference?” Erkenntnis 61, no. 1 (2004): 75–98 Pelczar, M and J. Rainsbury. “The Indexical Character of Names.” Synthese 114, no. 2 (1998): 293–317 Corazza, Eros. “On the Alleged Ambiguity of ‘Now’ and ‘Here’.” Synthese 138, no. 2 (2004): 289–313 Stotts, Megan. “Understanding the Intentions Behind the Referential/Attributive Distinction.” Erkenntnis 82, no. 2 (2017): 351–362 Maier, Emar. “Reference, Binding, and Presupposition: Three Perspectives on the Semantics of Proper Names.” Erkenntnis 80, no. Supplement (2015): 313–333 Bach, Kent. “You Don’t Say?” Synthese 128, no. 1/2 (2001): 15–44 |
A-Truth (7) | Jacquette, Dale. “The Validity Paradox in Modal S5.” Synthese 109, no. 1 (1996): 47–62 Read, Stephen. “Self-Reference and Validity.” Synthese 42, no. 2 (1979): 265–274 Caton, Charles E. “A Stipulation of Logical Truth in a Modal Propositional Calculus.” Synthese 14, no. 2/3 (1962): 196–199 Milne, Peter. “Classical Harmony: Rules of Inference and the Meaning of the Logical Constants.” Synthese 100, no. 1 (1994): 49–94 Campos Sanz, Wagner and Hermógenes Oliveira. “On Dummett’s verificationist justification procedure.” Synthese 193, no. 8 (2016): 2539–2559 Hakli, Raul and Sara Negri. “Does the deduction theorem fail for modal logic?” Synthese 187, no. 3 (2012): 849–867 Ciardelli, Ivano, Jeroen Groenendijk, and Floris Roelofsen. “On the semantics and logic of declaratives and interrogatives.” Synthese 192, no. 6 (2015): 1689–1728 Stein, Jordan. “Tharp’s theorems of metaphysics and the notion of necessary truth.” Synthese 194, no. 4 (2017): 1219–1231 Cobreros, Pablo. “Paraconsistent vagueness: a positive argument.” Synthese 183, no. 2 (2011): 211–227 Stachow, E.-W. “On a Game-Theoretic Approach to a Scientific Language.” PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1978, no. (1978): 19–40 |
B-Arguments (20) | Keller, John. “On Knockdown Arguments.” Erkenntnis 80, no. 6 (2015): 1205–1215 Van Laar, Jan Albert. “One-Sided Arguments.” Synthese 154, no. 2 (2007): 307–327 Ballantyne, Nathan. “Knockdown Arguments.” Erkenntnis 79, no. Supplement 3 (2014): 525–543 Jenkins, C. “Merely Verbal Disputes.” Erkenntnis 79, no. Supplement (2014): 11–30 Machan, Tibor R and M. L. Zupan. “Back to Being Reasonable.” Philosophy of Science 1, no. 3 (1975): 307–310 Stocker, Michael. “Some Problems with Counter-Examples in Ethics.” Synthese 72, no. 2 (1987): 277–289 Hazlett, Allan. “Epistemic Conceptions of Begging the Question.” Erkenntnis 65, no. 3 (2006): 343–363 Krabbe, Erik and Jan Laar. “That’s no argument! The dialectic of non-argumentation.” Synthese 192, no. 4 (2015): 1173–1197 Walton, Douglas N. “Begging the Question as a Pragmatic Fallacy.” Synthese 100, no. 1 (1994): 95–131 Dancy, Jonathan. “The thing to use.” Studies in History and Philosophy of Science Part A 37, no. 1 (2006): 58–61 |
B-Knowledge (2) | Alexander, David. “Unjustified Defeaters.” Erkenntnis 82, no. 4 (2017): 891–912 Lockard, Matthew. “Closure Provides No Relief from the Problem of Easy Knowledge.” Erkenntnis 79, no. 2 (2014): 461–469 Hiller, Avram and Ram Neta. “Safety and Epistemic Luck.” Synthese 158, no. 3 (2007): 303–313 Moretti, Luca and Tommaso Piazza. “Phenomenal Conservatism and Bergmann’s Dilemma.” Erkenntnis 80, no. 6 (2015): 1271–1290 Melchior, Guido. “Skepticism: The Hard Problem for Indirect Sensitivity Accounts.” Erkenntnis 79, no. 1 (2014): 45–54 Madison, B. “Internalism in the Epistemology of Testimony Redux.” Erkenntnis 81, no. 4 (2016): 741–755 McHugh, Conor. “Self-knowledge and the KK principle.” Synthese 173, no. 3 (2010): 231–257 Carter, J. Adam. “A Problem for Pritchard’s Anti-Luck Virtue Epistemology.” Erkenntnis 78, no. 2 (2013): 253–275 Silva, Paul. “On Doxastic Justification and Properly Basing One’s Beliefs.” Erkenntnis 80, no. 5 (2015): 945–955 Cling, Andrew D. “The Trouble with Infinitism.” Synthese 138, no. 1 (2004): 101–123 |
B-Scientific-theory (12) | Doppelt, Gerald. “Empirical Success or Explanatory Success: What Does Current Scientific Realism Need to Explain?” Philosophy of Science 2, no. 4 (2005): 1076–1087 Doppelt, Gerald. “Relativism and the Reticulational Model of Scientific Rationality.” Synthese 69, no. 2 (1986): 225–252 Resnik, David. “Repairing the Reticulated Model of Scientific Rationality.” Erkenntnis 40, no. 3 (1994): 343–355 Šešelja, Dunja and Christian Straßer. “Kuhn and coherentist epistemology.” Studies in History and Philosophy of Science Part A 40, no. 3 (2009): 322–327 Doppelt, Gerald D. “From Standard Scientific Realism and Structural Realism to Best Current Theory Realism.” Journal for General Philosophy of Science 42, no. 2 (2011): 295–316 Freedman, Karyn. “Laudan’s Naturalistic Axiology.” Philosophy of Science 2, no. 3 (1999): S526–S537 Siegel, Harvey. “Meiland on Scheffler, Kuhn, and Objectivity in Science.” Philosophy of Science 1, no. 3 (1976): 441–448 Doppelt, Gerald. “The Philosophical Requirements for an Adequate Conception of Scientific Rationality.” Philosophy of Science 1, no. 1 (1988): 104–133 Doppelt, Gerald. “The Naturalist Conception of Methodological Standards in Science: A Critique.” Philosophy of Science 1, no. 1 (1990): 1–19 Ivanova, Milena. “Friedman’s Relativised A Priori and Structural Realism: In Search of Compatibility.” International Studies in the Philosophy of Science 25, no. 1 (2011) |
C-Confirmation (3) | Machery, Edouard. “Power and Negative Results.” Philosophy of Science 2, no. 1 (2012): 808–820 Foster, Lawrence. “Feyerabend’s Solution to the Goodman Paradox.” The British Journal for the Philosophy of Science 20, no. 3 (1969): 259–260 Boyce, Kenneth. “On the equivalence of Goodman’s and Hempel’s paradoxes.” Studies in History and Philosophy of Science Part A 45, no. C (2014): 32–42 Mayo, Deborah G and Aris Spanos. “Severe Testing as a Basic Concept in a Neyman–Pearson Philosophy of Induction.” The British Journal for the Philosophy of Science 57, no. 2 (2006): 323–357 Rogers, Ben. “Material Conditions on Tests of Statistical Hypotheses.” PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1970, no. (1970): 403–412 Kahane, Howard. “Baumer on the Confirmation Paradoxes.” The British Journal for the Philosophy of Science 18, no. 1 (1967): 52–56 Schwartz, Robert. “Paradox and Projection.” Philosophy of Science 1, no. 2 (1972): 245–248 Mayo, Deborah G. “How to Discount Double-Counting When It Counts: Some Clarifications.” The British Journal for the Philosophy of Science 59, no. 4 (2008): 857–879 Mackie, J. L. “The Paradox of Confirmation.” The British Journal for the Philosophy of Science 13, no. 52 (1963): 265–277 Kahane, Howard. “Nelson Goodman’s Entrenchment Theory.” Philosophy of Science 1, no. 4 (1965): 377–383 |
C-Probability (0) | Armendt, Brad. “Is There a Dutch Book Argument for Probability Kinematics?” Philosophy of Science 1, no. 4 (1980): 583–588 Draper, Kai and Joel Pust. “Diachronic Dutch Books and Sleeping Beauty.” Synthese 164, no. 2 (2008): 281–287 Singer, Daniel. “Sleeping beauty should be imprecise.” Synthese 191, no. 14 (2014): 3159–3172 Koscholke, Jakob. “Carnap’s Relevance Measure as a Probabilistic Measure of Coherence.” Erkenntnis 82, no. 2 (2017): 339–350 Harper, William L and Henry E. Kyburg. “The Jones Case.” The British Journal for the Philosophy of Science 19, no. 3 (1968): 247–251 Park, Ilho. “Rescuing Reflection.” Philosophy of Science 1, no. 3 (2012): 473–489 Kyburg,, Henry E. “Levi, Petersen, and Direct Inference.” Philosophy of Science 1, no. 4 (1983): 630–634 Lewis, Peter J. “Credence and self-location.” Synthese 175, no. 3 (2010): 369–382 Pruss, Alexander. “Infinitesimals are too small for countably infinite fair lotteries.” Synthese 191, no. 6 (2014): 1051–1057 Kim, Namjoong. “A dilemma for the imprecise bayesian.” Synthese 193, no. 6 (2016): 1681–1702 |
D-Agent-decision (8) | Tuomela, Raimo. “What Is Cooperation?” Erkenntnis 38, no. 1 (1993): 87–101 Weirich, Paul. “Collective acts.” Synthese 187, no. 1 (2012): 223–241 Baier, Kurt. “Rationality and Morality.” Erkenntnis 11, no. 2 (1977): 197–223 Gustafsson, Johan E. “A Note in Defence of Ratificationism.” Erkenntnis 75, no. 1 (2011): 147–150 Weirich, Paul. “Initiating Coordination.” Philosophy of Science 2, no. 1 (2007): 790–801 Ferguson, Benjamin. “The Paradox of Exploitation.” Erkenntnis 81, no. 5 (2016): 951–972 Tuomela, Raimo and Kaarlo Miller. “We-Intentions, Free-Riding, and Being in Reserve.” Erkenntnis 36, no. 1 (1992): 25–52 Harsanyi, John C. “Morality and the Prisoner’s Dilemma Problem: Comments on Baier’s Paper.” Erkenntnis 11, no. 3 (1977): 441–446 Rabinowicz, Wlodek. “Cooperating with Cooperators: Notes on Österberg’s Collective Egoism.” Erkenntnis 38, no. 1 (1993): 23–55 Sobel, Jordan Howard. “Money Pumps.” Philosophy of Science 1, no. 2 (2001): 242–257 |
D-Game-theory (11) | Wagner, Elliott. “Communication and Structured Correlation.” Erkenntnis 71, no. 3 (2009): 377–393 Zollman, Kevin J. S. “Talking to Neighbors: The Evolution of Regional Meaning*.” Philosophy of Science 1, no. 2 (2005): 69–85 Skyrms, Brian. “Signals, Evolution and the Explanatory Power of Transient Information*.” Philosophy of Science 1, no. 2 (2002): 407–428 Vanderschraaf, Peter. “In a Weakly Dominated Strategy Is Strength: Evolution of Optimality in Stag Hunt Augmented with a Punishment Option.” Philosophy of Science 83, no. 1 (2016): 29–59 O’Connor, Cailin. “The Evolution of Vagueness.” Erkenntnis 79, no. Supplement 4 (2014): 707–727 Huttegger, Simon M, Brian Skyrms,, Rory Smead, and Kevin J. S. Zollman. “Evolutionary Dynamics of Lewis Signaling Games: Signaling Systems vs. Partial Pooling.” Synthese 172, no. 1 (2010): 177–191 Wagner, Elliott O. “Deterministic Chaos and the Evolution of Meaning.” The British Journal for the Philosophy of Science 63, no. 3 (2012): 547–575 Vanderschraaf, Peter and J. McKenzie Alexander. “Follow the Leader: Local Interactions with Influence Neighborhoods*.” Philosophy of Science 1, no. 2 (2005): 86–113 Smead, Rory. “The Role of Social Interaction in the Evolution of Learning.” The British Journal for the Philosophy of Science 66, no. 1 (2015): 161–180 Wagner, Elliott. “The Explanatory Relevance of Nash Equilibrium: One-Dimensional Chaos in Boundedly Rational Learning.” Philosophy of Science 2, no. 1 (2013): 783–795 |
E-Evolution (22) | Mameli, Matteo. “Nongenetic Selection and Nongenetic Inheritance.” The British Journal for the Philosophy of Science 55, no. 1 (2004): 35–71 Booth, Austin. “Populations and Individuals in Heterokaryotic Fungi: A Multilevel Perspective.” Philosophy of Science 1, no. 3 (2014): 612–632 McConwell, Alison K. “Contingency and Individuality: A Plurality of Evolutionary Individuality Types.” Philosophy of Science 84, no. 5 (2017): 1104–1116 Earnshaw-Whyte, Eugene. “Increasingly Radical Claims about Heredity and Fitness.” Philosophy of Science 1, no. 2 (2012): 396–412 Morgan, Gregory J and W. Brad Pitts. “Evolution without Species: The Case of Mosaic Bacteriophages.” The British Journal for the Philosophy of Science 59, no. 4 (2008): 745–765 Ereshefsky, Marc. “Species, Higher Taxa, and the Units of Evolution.” Philosophy of Science 1, no. 1 (1991): 84–101 Shanahan, Timothy. “Evolution, Phenotypic Selection, and the Units of Selection.” Philosophy of Science 1, no. 2 (1990): 210–225 Okasha, Samir. “Does the Concept of “Clade Selection” Make Sense?.” Philosophy of Science 2, no. 1 (2003): 739–751 Vorontsov, Nikolay N. “The problem of species and speciation.” International Studies in the Philosophy of Science 3, no. 2 (1989) Waters, C. Kenneth. “Genes Made Molecular.” Philosophy of Science 1, no. 1 (1994): 163–185 |
E-Mind (21) | Almäng, Jan. “An Argument for Shape Internalism.” Erkenntnis 82, no. 4 (2017): 819–836 Deutsch, Max. “The Way Ripe Tomatoes Look: An Argument Against Externalist Representationalism.” Erkenntnis 77, no. 3 (2012): 297–316 Ren, Huiming. “Inverted Earth Revisited.” Erkenntnis 81, no. 5 (2016): 1093–1107 De Vignemont, Frédérique and Pierre Jacob. “Beyond Empathy for Pain.” Philosophy of Science 83, no. 3 (2016): 434–445 Raftopoulos, Athanasios. “Ambiguous figures and representationalism.” Synthese 181, no. 3 (2011): 489–514 De Vignemont, Frédérique and Pierre Jacob. “What Is It like to Feel Another’s Pain?.” Philosophy of Science 1, no. 2 (2012): 295–316 Millar, Boyd. “Peacocke’s trees.” Synthese 174, no. 3 (2010): 445–461 Thompson, Evan. “Representationalism and the Phenomenology of Mental Imagery.” Synthese 160, no. 3 (2008): 397–415 Raftopoulos, Athanassios. “Cognitive Penetration Lite and Nonconceptual Content.” Erkenntnis 82, no. 5 (2017): 1097–1122 Reuter, Kevin. “The Developmental Challenge to the Paradox of Pain.” Erkenntnis 82, no. 2 (2017): 265–283 |
E-Neurosciences (1) | Bergeron, Vincent. “Functional Independence and Cognitive Architecture.” The British Journal for the Philosophy of Science 67, no. 3 (2016): 817–836 Bechtel, William. “Aligning Multiple Research Techniques in Cognitive Neuroscience: Why Is It Important?” Philosophy of Science 2, no. 1 (2002): S48–S58 Johnson, Gregory. “The relationship between psychological capacities and neurobiological activities.” European Journal for Philosophy of Science 2, no. 3 (2012): 453–480 Colombo, Matteo. “Moving Forward (and Beyond) the Modularity Debate: A Network Perspective.” Philosophy of Science 1, no. 2 (2013): 356–377 Bechtel, William. “Investigating neural representations: the tale of place cells.” Synthese 193, no. 5 (2016): 1287–1321 Bechtel, William. “Mechanisms in Cognitive Psychology: What Are the Operations?” Philosophy of Science 2, no. 3 (2008): 983–994 McCaffrey, Joseph B. “The Brain’s Heterogeneous Functional Landscape.” Philosophy of Science 2, no. 2 (2015): 1010–1022 Craver, Carl F. “Interlevel Experiments and Multilevel Mechanisms in the Neuroscience of Memory.” Philosophy of Science 2, no. 1 (2002): S83–S97 Piccinini, Gualtiero. “Computing Mechanisms.” Philosophy of Science 1, no. 2 (2007): 501–526 Sullivan, Jacqueline Anne. “A Role for Representation in Cognitive Neurobiology.” Philosophy of Science 2, no. 2 (2010): 875–887 |
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Malaterre, C., Lareau, F., Pulizzotto, D. et al. Eight journals over eight decades: a computational topic-modeling approach to contemporary philosophy of science. Synthese 199, 2883–2923 (2021). https://doi.org/10.1007/s11229-020-02915-6
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DOI: https://doi.org/10.1007/s11229-020-02915-6