General Philosophy of Science, Miscellaneous

In this paper, I defend causal presentism in the historiography of science. In causal presentism, historiography of science studies events, processes and practices that were causally relevant to the development of present science. I argue that causal presentism has three main virtues: First, causal presentism avoids the conceptual problems the historiography of science has recognized in its core. Secondly, causal presentism provides a clear account of what counts as historical explanatory understanding about science. Thirdly, causal presentism enables novel ways to (...) address several conceptual and methodological problems in the historiography of science. The conclusion is that causal presentism is distinctively strong position with respect to the historiography of science. (shrink)

In recent years, there has been a concerted attack on many of the precepts of Western civilization relating to the concept of God, truth, Christianity, morality, sex, the family, and even modern science, especially biology. The concern of this volume is to explore these and other attacks through the tools of philosophy, theology, science, and intuition. It seeks to bring clarity to the ongoing struggle of Western civilization to preserve its values and traditions. -/- The West is crumbling at an (...) accelerated rate. The unfolding erasure of history, objective morality, and truth has paved the way for our current predicament. We are now standing at the precipice of the future of human civilization. The attacks on the human person are unrelenting, malicious, multifaceted, and wide-ranging in their scope and breadth, from the time prior to birth until the moment of death. If you are granted the “right” to live, then you must be prepared for unending assaults on your, mind, body, and soul. Nevertheless, the spirit of man and the greatness of God are infinitely greater than any of these assaults. It is by making sense of nonsense that humanity will be able to navigate out of the West’s current quagmire. (shrink)

This volume sheds light on still unexplored issues and raises new questions in the main areas addressed by the philosophy of science. Bringing together selected papers from three main events, the book presents the most advanced scientific results in the field and suggests innovative lines for further investigation. It explores how discussions on several notions of the philosophy of science can help different scientific disciplines in learning from each other. Finally, it focuses on the relationship between Cambridge and Vienna in (...) twentieth century philosophy of science. The areas examined in the book are: formal methods, the philosophy of the natural and life sciences, the cultural and social sciences, the physical sciences and the history of the philosophy of science. (shrink)

Philosophy of science studies science and the production of scientific knowledge. Usually, philosophical investigations of this field focus mainly on metaphysical, epistemological, and methodological aspects of science. Despite being divided into the general philosophy of science and philosophy of special sciences, philosophy of science, in a general way, is still distant from scientific practice per se. In order to fill this gap, a third subfield has emerged, philosophy of science in practice. This article provides a brief introduction to the philosophy (...) of science in practice and to the Society for Philosophy of Science in Practice. It discusses its goals, methods, its social and empirical engagement. It is expected that this article will shed light on the diversity and possibility of investigations for a philosophy of science beyond meta-analysis, in other words, that is empirically engaged and socially informed. - A filosofia da ciência estuda a ciência, o modus operandi da ciência e o conhecimento científico. Convencionalmente, as investigações filosóficas desse campo se debruçam principalmente sobre aspectos metafísicos, epistemológicos e metodológicos da produção de conhecimento nas ciências. Muito embora seja tradicionalmente subdividida em filosofia geral das ciências e filosofia das ciências especiais, a filosofia da ciência de uma forma geral ainda se mantém distante das práticas científicas propriamente ditas. Para suprir tal demanda surge uma terceira subdivisão, ainda embrionária, a filosofia da ciência em prática. Este artigo apresenta uma breve introdução à filosofia da ciência em prática e à Sociedade de Filosofia da Ciência em Prática, discute seus objetivos e estratégias metodológicas, bem como seu engajamento social e empírico. Espero que, com esse artigo, seja possível trazer uma breve noção sobre a diversidade de investigações e as possibilidades de uma filosofia da ciência que pode ir para além do escopo meta-analítico, que pode ser empiricamente engajada e socialmente informada. (shrink)

There are distinctive methodological and conceptual challenges in rare and severe event (RSE) forecast verification, that is, in the assessment of the quality of forecasts of rare but severe natural hazards such as avalanches, landslides or tornadoes. While some of these challenges have been discussed since the inception of the discipline in the 1880s, there is no consensus about how to assess RSE forecasts. This article offers a comprehensive and critical overview of the many different measures used to capture the (...) quality of categorical, binary RSE forecasts – forecasts of occurrence and non-occurrence – and argues that of skill scores in the literature there is only one adequate for RSE forecasting. We do so by first focusing on the relationship between accuracy and skill and showing why skill is more important than accuracy in the case of RSE forecast verification. We then motivate three adequacy constraints for a measure of skill in RSE forecasting. We argue that of skill scores in the literature only the Peirce skill score meets all three constraints. We then outline how our theoretical investigation has important practical implications for avalanche forecasting, basing our discussion on a study in avalanche forecast verification using the nearest-neighbour method (Heierli et al., 2004). Lastly, we raise what we call the “scope challenge”; this affects all forms of RSE forecasting and highlights how and why working with the right measure of skill is important not only for local binary RSE forecasts but also for the assessment of different diagnostic tests widely used in avalanche risk management and related operations, including the design of methods to assess the quality of regional multi-categorical avalanche forecasts. (shrink)

We provide two programmatic frameworks for integrating philosophical research on understanding with complementary work in computer science, psychology, and neuroscience. First, philosophical theories of understanding have consequences about how agents should reason if they are to understand that can then be evaluated empirically by their concordance with findings in scientific studies of reasoning. Second, these studies use a multitude of explanations, and a philosophical theory of understanding is well suited to integrating these explanations in illuminating ways.

"Scientific Research in the Era of Big Data" - this book was also published in French (Mimesis) in 2019 and in Portuguese in 2022 (FIOCRUZ editors).

Orthodoxy has it that all counterpossibles are vacuously true. Yet there are strong arguments both for and against the use of non-vacuous counterpossibles in metaphysics. Even more compelling evidence may be expected from science. Arguably philosophy should defer to best scientific practice. If scientific practice comes with a commitment to non-vacuous counterpossibles, this may be the decisive reason to reject semantic orthodoxy and accept non-vacuity. I critically examine various examples of the purported scientific use of non-vacuous counterpossibles and argue that (...) they are not convincing. They neither establish that scientific practice comes with a commitment to the non-vacuity of counterpossibles, nor that incurring such a commitment would be useful in scientific practice. I illustrate a variety of counterstrategies on behalf of orthodoxy. (shrink)

Ernst Mach’s definition of the relationship between thoughts and facts is well known, but the question of how Mach conceived of their actual relationship has received much less attention. This paper aims to address this gap in light of Mary B. Hesse’s view of a postempiricist approach to natural science. As this paper will show, this view is characterized by a constructivist conception of the relationship between theory and facts that seems to be consistent with Mach’s observations on scientific knowledge. (...) The paper first explores Hesse’s account of postempiricism and her project of a new epistemology. It then considers Ernst Mach’s conception of facts as the middle term of a triad of concepts that includes thoughts and elements as extreme terms. Finally, the paper will offer concluding remarks on Mach’s contribution to the debate on scientific realism and his attempt to redefine the notions of correspondence and objectivity in science. (shrink)

This study takes off from the ethical problem that racism grounded in population genetics raises. It is an analysis of four standard scientific responses to the problem of genetically motivated racism, seen in connection with the Human Genome Diversity Project (HGDP): (1) Discriminatory uses of scientific facts and arguments are in principle ‘misuses’ of scientific data that the researcher cannot be further responsible for. (2) In a strict scientific sense, genomic facts ‘disclaim racism’, which means that an epistemically correct grasp (...) of genomics should be ethically justified. (3) Ethical difficulties are issues to be ‘resolved’ by an ethics institution or committee, which will guarantee the ethical quality of the research scrutinized. (4) Although population genetics occasionally may lead to racism, its overall ‘value’ for humankind justifies its cause as a desirable pursuit. I argue that these typical responses to genetically motivated racism supervene on a principle called the ‘ethic of knowledge’, which implies that an epistemically correct account has intrinsic ethical value. This principle, and its logically related ideas concerning the ethic of science, effectively avoids a deeper ethical question of responsibility in science from being raised. (shrink)

Jan G. Michel argues that we need a philosophy of scientific discovery. Before turning to the question of what such a philosophy might look like, he addresses two questions: Don’t we have a philosophy of scientific discovery yet? And do we need one at all? To answer the first question, he takes a closer look at history and finds that we have not had a systematic philosophy of scientific discovery worthy of the name for over 150 years. To answer the (...) second question, Michel puts forward three arguments that show the importance of a philosophy of scientific discovery. Briefly, he arrives at the following answers: No, we don’t yet have a philosophy of scientific discovery, and yes, we definitely need one. To remedy this shortcoming, Michel analyzes the concept of discovery, leading him to the insight that scientific discoveries have an underlying structure with certain structural features. Some of these features may be important but not indispensable to scientific discovery processes; these include eureka moments, serendipities, joint discoveries, special science funding, and others. In addition, Michel identifies three indispensable structural features which he examines in detail and which he places in a picture with a certain dynamics according to which the process of making scientific discoveries can be seen as a path, leading us from finding and acceptance to knowledge. (shrink)

Discussion of epistemic responsibility typically focuses on belief formation and actions leading to it. Similarly, accounts of collective epistemic responsibility have addressed the issue of collective belief formation and associated actions. However, there has been little discussion of collective responsibility for preventing epistemic harms, particularly those preventable only by the collective action of an unorganized group. We propose an account of collective epistemic responsibility which fills this gap. Building on Hindriks' (2019) account of collective moral responsibility, we introduce the Epistemic (...) Duty to Join Forces. Our theory provides an account of the responsibilities of scientists to prevent epistemic harms during inquiry. (shrink)

Progress may be made in resolving the tension between free will and determinism by analysis of the necessary conditions of freedom. It is of the essence that these conditions include causal and deterministic regularities. Furthermore, the human expression of free will is informed by understanding some of those regularities, and increments in that understanding have served to enhance freedom. When the possible character of a deterministic system based on physical theory is considered, it is judged that, far from implying the (...) elimination of human freedom, such a theory might simply set parameters for it; indeed knowledge of that system could again prove to be in some respects liberating. On the other hand, it is of the essence that the overarching biological framework is not a deterministic system and it foregrounds the behavioural flexibility of humans in being able to choose within a range of options and react to chance occurrences. Furthermore, an issue for determinism flows from the way in which randomness (e.g. using a true random number generator) and chance events could and do enter human life. Once the implications of that issue are fully understood, other elements fit comfortably together in our understanding of freely undertaken action: the contribution of reasons and causes; the fact that reasons are never sufficient to account for outcomes; the rationale for the attribution of praise and blame. (shrink)

Although the interdisciplinary nature of contemporary biological sciences has been addressed by philosophers, historians, and sociologists of science, the different ways in which engineering concepts and methods have been applied in biology have been somewhat neglected. We examine - using the mechanistic philosophy of science as an analytic springboard - the transfer of network methods from engineering to biology through the cases of two biology laboratories operating at the California Institute of Technology. The two laboratories study gene regulatory networks, but (...) in remarkably different ways. The research strategy of the Davidson lab fits squarely into the traditional mechanist philosophy in its aim to decompose and reconstruct, in detail, gene regulatory networks of a chosen model organism. In contrast, the Elowitz lab constructs minimal models that do not attempt to represent any particular naturally evolved genetic circuits. Instead, it studies the principles of gene regulation through a template-based approach that is applicable to any kinds of networks, whether biological or not. We call for the mechanists to consider whether the latter approach can be accommodated by the mechanistic approach, and what kinds of modifications it would imply for the mechanistic paradigm of explanation, if it were to address modelling more generally. (shrink)

Many philosophers are baffled by necessity. Humeans, in particular, are deeply disturbed by the idea of necessary laws of nature. In this paper I offer a systematic yet down to earth explanation of necessity and laws in terms of invariance. The type of invariance I employ for this purpose generalizes an invariance used in meta-logic. The main idea is that properties and relations in general have certain degrees of invariance, and some properties/relations have a stronger degree of invariance than others. (...) The degrees of invariance of highly-invariant properties are associated with high degrees of necessity of laws governing/describing these properties, and this explains the necessity of such laws both in logic and in science. This non-mysterious explanation has rich ramifications for both fields, including the formality of logic and mathematics, the apparent conflict between the contingency of science and the necessity of its laws, the difference between logical-mathematical, physical, and biological laws/principles, the abstract character of laws, the applicability of logic and mathematics to science, scientific realism, and logical-mathematical realism. (shrink)

In this paper, I distinguish three general approaches to public trust in science, which I call the individual approach, the semi-social approach, and the social approach, and critically examine their proposed solutions to what I call the problem of harmful distrust. I argue that, despite their differences, the individual and the semi-social approaches see the solution to the problem of harmful distrust as consisting primarily in trying to persuade individual citizens to trust science and that both approaches face two general (...) problems, which I call the problem of overidealizing science and the problem of overburdening citizens. I then argue that in order to avoid these problems we need to embrace a (thoroughly) social approach to public trust in science, which emphasizes the social dimensions of the reception, transmission, and uptake of scientific knowledge in society and the ways in which social forces influence both positively and negatively the trustworthiness of science. (shrink)

According to John D. Norton's Material Theory of Induction, all inductive inferences are justified by local facts, rather than their formal features or some grand principles of nature's uniformity. Recently, Richard Dawid (2015) has offered a challenge to this theory: in an adaptation of Norton's own celebrated "Dome" thought experiment, it seems that there are certain inductions that are intuitively reasonable, but which do not have any local facts that could serve to justify them in accordance with Norton's requirements. Dawid's (...) suggestion is that “raw induction” might have a limited but important role for such inferences. -/- I argue that the Material Theory can accommodate such inductions, because there are local facts concerning the combinatoric features of the induction’s target populations that can licence the inferences in an analogous way to existing examples of material induction. Since my arguments are largely independent of the details of the Dome, Norton's theory emerges as surprisingly robust against criticisms of excessive narrowness. (shrink)

Book review of M. Blay, « Critique de l’histoire des sciences », in Isis : An International Review Devoted to the History of Science and its Cultural Influences, vol. 112, 2021, n°2, pp. 391-392.

Unsere These lautet, dass die Geschichte des logischen Empirismus bisher nicht in ihrer ganzen Komplexität dargestellt wurde. Es herrscht das Bild vor, dass vor allem der Wiener Kreis die wissenschaftliche Philosophie seiner Zeit dominiert habe. In Wirklichkeit waren Hans Reichenbach und die Philosophen und Wissenschaftler in seiner Gruppe mehr als nur geistige Verwandte der Wiener logischen Empiristen. Die Berliner Gruppe war ein gleichberechtigter Partner bei der Verbreitung wissenschaftlicher Philosophie im deutschsprachigen Raum um 1930 und schlug dabei durchaus einen individuellen Weg (...) ein. Reichenbach hat daher auch ausdrücklich die Eigenständigkeit der Berliner Gruppe innerhalb des logischen Empirismus verteidigt (Hoffmann 1994, 26). Dabei kämpfte er nicht einfach für Gleichberechtigung mit dem Wiener Kreis. Reichenbach beanspruchte sogar die Priorität der Initiative. (shrink)

The homeostatic property cluster theory is widely influential for its ability to account for many natural-kind terms in the life sciences. However, the notion of homeostatic mechanism has never been fully explicated. In 2009, Carl Craver interpreted the notion in the sense articulated in discussions on mechanistic explanation and pointed out that the HPC account equipped with such notion invites interest-relativity. In this paper, we analyze two recent refinements on HPC: one that avoids any reference to the causes of the (...) clustering of properties and one that replaces homeostatic mechanisms with causal networks represented by causal graphs. We argue that the former is too slender to account for some inductive inference in science and the latter, thicker account invites interest-relativity, as the original HPC does. This suggests that human interest will be an un-eliminative part of a satisfactory account of natural kindness. We conclude by discussing the implication of interest-relativity to the naturalness, reality, or objectivity of kinds and indicating an overlooked aspect of natural kinds that requires further studies. (shrink)

A small consortium of philosophers has begun work on the implications of epistemic networks (Zollman 2008 and forthcoming; Grim 2006, 2007; Weisberg and Muldoon forthcoming), building on theoretical work in economics, computer science, and engineering (Bala and Goyal 1998, Kleinberg 2001; Amaral et. al., 2004) and on some experimental work in social psychology (Mason, Jones, and Goldstone, 2008). This paper outlines core philosophical results and extends those results to the specific question of thresholds. Epistemic maximization of certain types does show (...) clear threshold effects. Intriguingly, however, those effects appear to be importantly independent from more familiar threshold effects in networks. (shrink)

A common objection to a pragmatist perspective on scientific expertise is that, while there is a well-known pragmatist theory of inquiry, which was formulated first by Peirce, then refined by Dewey and others, this theory cannot provide a clear-cut account of scientific expertise. In this paper, after addressing this objection in the second section, I claim that, on the contrary, pragmatism offers robust tools to think scientific expertise. In Sections 3 to 7, I present five important insights that one can (...) derive from a pragmatist epistemology when responding to contemporary problems posed by expertise: about science and scientific expertise in a legal context (sections 3 and 4), about collective expertise (sections 5 and 6), and even about expertise on ignorance (section 7). (shrink)

Comprehensive when it was published in 1990, this guide brought together information on the broad spectrum of education and research opportunities then available in the sciences of complexity. Its purpose was to make these kinds of investigations more accessible by providing information on programs, institutions, organizations, and literature where one can learn about their principles, methods, and applications. The guide was intended to help interested students and educators locate the various academic fields, departments, institutes, and programs that offer education in (...) systems thinking and complex systems research. The guide also served professionals who are already involved in the systems sciences as a directory to general activity in what are otherwise widely separate fields. By browsing the guide one can get a snapshot of where education and research in systems science was happening at the time in both North America and Europe. The landscape has since massively changed so its value is mostly historical. (shrink)

In Canada, all institutions that conduct publicly funded, animal-based research are expected to comply with the standards of the Canadian Council on Animal Care (CCAC). The CCAC promotes the use of animal alternatives, and uses the “3Rs” principles of Replacement, Reduction, and Refinement as a guiding ethical framework. To ensure these standards are strictly enforced, internal ethics committees at each institution are tasked with creating “Animal Use Protocol” (AUP) forms to be filled out by researchers and evaluated by the committees. (...) In this paper, we assess AUP forms from Canada’s top research universities to identify the extent to which they conform to, or advance, the 3Rs framework. Our results show various deficiencies that call into question the quality of information elicited by these forms. To remedy this, we recommend that the CCAC assume responsibility for creating a standardized 3Rs section to be used on all AUP forms. In addition, proposal forms and experimental results for all research at CCAC-certified institutions should be digitized and uploaded into a national database. We argue that this would offer higher quality information for researchers at the experimental design stage, while strengthening the CCAC’s mandate to be accountable to the Canadian public. (shrink)

Quantum mechanics was reformulated as an information theory involving a generalized kind of information, namely quantum information, in the end of the last century. Quantum mechanics is the most fundamental physical theory referring to all claiming to be physical. Any physical entity turns out to be quantum information in the final analysis. A quantum bit is the unit of quantum information, and it is a generalization of the unit of classical information, a bit, as well as the quantum information itself (...) is a generalization of classical information. Classical information refers to finite series or sets while quantum information, to infinite ones. Quantum information as well as classical information is a dimensionless quantity. Quantum information can be considered as a “bridge” between the mathematical and physical. The standard and common scientific epistemology grants the gap between the mathematical models and physical reality. The conception of truth as adequacy is what is able to transfer “over” that gap. One should explain how quantum information being a continuous transition between the physical and mathematical may refer to truth as adequacy and thus to the usual scientific epistemology and methodology. If it is the overall substance of anything claiming to be physical, one can question how different and dimensional physical quantities appear. Quantum information can be discussed as the counterpart of action. Quantum information is what is conserved, action is what is changed in virtue of the fundamental theorems of Emmy Noether (1918). The gap between mathematical models and physical reality, needing truth as adequacy to be overcome, is substituted by the openness of choice. That openness in turn can be interpreted as the openness of the present as a different concept of truth recollecting Heidegger’s one as “unconcealment” (ἀλήθεια). Quantum information as what is conserved can be thought as the conservation of that openness. (shrink)

I argue that Kant has developed a broad systematic account of the architectonic functionality of pure reason that can be used and advanced in contemporary contexts. Reason, in the narrow sense, is responsible for the picture of a well-ordered universe of science consisting of architectonic ideas of science, sciences and parts of sciences. In the first section (I), I show what Kant means by the architectonic ideas by explaining and interrelating the concepts of (a) the faculty of reason, (b) ideas (...) (as principles), (c) method, and (d) sciences of reason. Thereafter (II), I think through his holistic understanding of science and scientific progress and suggest differentiating between four levels of use of architectonic ideas, drawing on the metaphor of a well-structured universe as imagined by Kant in his work on the Universal Natural History and Theory of the Heavens. I also claim that each possible idea of reason can be (apart from its primary function) additionally regarded as a fourth-level architectonic concept when explicitly conceived as an object of (e. g. philosophical) studies, i. e. from a mere methodological perspective. In the final section (III), I unveil the potential of Kant’s theory by pointing out how this architectonic methodological function of pure reason is tacitly used in Karl-Otto Apel’s contemporary philosophical research programme. You can get the official version of the paper and the whole issue (open access) by clicking on the attached link. (shrink)

This first issue of Mεtascience is a posthumous tribute to Mario Bunge, who died in February 2020. This is not the first time, and certainly not the last, that thinkers pay homage to Mario Bunge or that his work is the subject of study, and rightly so, because the man is a humanist and the work worthy heiress of the Enlightenment. Bunge has made a significant contribution to a wide range of disciplines: physics, philosophy, sociology, psychology, cognitive sciences. This issue (...) is also a way to make his thoughts known to a French-speaking readership. (shrink)

In this paper, I attempt to sketch a dialectical approach on scientific representations and their role in scientific cognition. In my understanding, scientific representations can be construed as ‘tools’ mediating scientific cognition. These ‘tools’ are products of our cognitive activity, by which we signify which features of certain objects or states of affairs should be embodied in abstractive representations of them. In such a context, I explore the merits of bringing some ideas of thinkers whose work is underestimated in the (...) relevant discussion nowadays in dialogue with currently discussed approaches. (shrink)

The aim of this chapter is to show how Francophone PS, or what is called French (historical) epistemology, embodies this interconnectedness. Moreover, a novel approach to what constitutes French epistemology will be developed here, going beyond a purely historical survey or a reevaluation of a range of concepts found in this tradition.7 The aim is instead to highlight two methodological principles at work in French epistemology that are often in tension with one another, but are not recognized as such in (...) the literature. (shrink)

Одной из особенностей прагматизма является, как известно, трактовка познания, свободная от апелляции к корреспондентной теории истины и постулирования независимой (от человека) реальности. Все прагматисты, к каким бы воззрениям по частным вопросам они ни склонялись, придерживаются операциональной концепции познания. Согласно этой концепции, достаточным основанием знания является его применимость на практике. Данный аспект неоднократно затрагивался в ходе дискуссий о сходствах и различиях марксизма и прагматизма. Несмотря на существенное расхождение между прагматизмом и марксизмом в понимании природы знания, многие исследователи пытались провести параллели между (...) этими двумя интеллектуальными традициями. В частности, Бертран Рассел указывал на близость философии Дьюи «доктрине другого экс-гегельянца, Карла Маркса, как она была сформулирована в его “Тезисах о Фейербахе”». По мнению Рассела, если не придавать слишком большого значения терминологическим нюансам, Марксова теория деятельности, или праксиса, в главных моментах «едва отличима от инструментализма». Этот взгляд получил распространение даже среди прагматистов, а также американских марксистов (точнее, троцкистов), которые в конце 40-х годов прошлого века трактовали прагматизм Дьюи как прямое продолжение и развитие марксизма. Дж. Новак, к примеру, утверждал, что «самым выдающимся современным мыслителем, впитавшим в себя все лучшее, что было у Маркса, является Дьюи». В. Ленина — как практика, а не теоретика — Новак считал, в свою очередь, «скрытым последователем» Дьюи. Согласно бывшему марксисту С. Хуку, прагматизм — это философия «экспериментального натурализма», т. е. теория, «развивающая наиболее здравые и продуктивные идеи Маркса о мире». В статье (с опорой главным образом на аргументацию советских марксистов) критически пересматривается философский диалог между марксизмом и прагматизмом. Основное внимание уделяется понятию деятельности, или праксиса, а также взаимосвязи субъекта и объекта в познании. // It is well-known that pragmatism advocates an approach on cognition without appealing to man-independent reality and truth as correspondence with reality. Instead, pragmatists, notwithstanding the diversity of their particular views, hold an operational conception of knowledge, according to which all that is needed is knowledge to have a suitable kind of correspondence with practice. This point has been scrutinized in the long standing discussion about the convergences and deviations between Marxism and pragmatism. The profound divergence between Marxism and pragmatism with regard to the aforementioned issues was not enough to prevent philosophers from attempting to trace affinities between these two distinct intellectual trends. For example, Bertrand Russell pointed out the “close similarity” of Dewey’s doctrine to “that of another exHegelian, Karl Marx, as it is delineated in his Theses on Feuerbach.” Russell thinks that Marx’s concept of activity or praxis is in spite of differences in terminology “essentially indistinguishable from instrumentalism.” This line of reasoning seems to be quite influential, even among pragmatists. Notably, some American Marxists (especially Trotskyists, to be exact) at the late 40’s overemphasized the affinity between Dewey’s pragmatism and Marxism, and even understood Dewey’s pragmatism as a continuation of Marxism. For example, G. Novack comments that “[t]he most outstanding figure in the world today in whom the best elements of Marx’s thought are present is John Dewey,” and presents Lenin as “an unavowed disciple of Dewey in practice.” According to S. Hook, a former Marxist who turned to pragmatism and became one of the most influential philosophers who discussed the relation between Marxism and pragmatism, the latter is “the philosophy of experimental naturalism” which can be regarded “as a continuation of what is soundest and most fruitful in Marx’s philosophical outlook upon the world.” In this paper, I intend to critically reassess this philosophical dialogue between Marxism and pragmatism, by further deploying the argumentation provided mainly by Soviet Marxists with regard to the aforementioned issues, focusing especially on two of them: the concept of activity (or praxis) and the interrelation of subject and object in cognition. (shrink)

We explore the prospects of a monist account of explanation for both non-causal explanations in science and pure mathematics. Our starting point is the counterfactual theory of explanation (CTE) for explanations in science, as advocated in the recent literature on explanation. We argue that, despite the obvious differences between mathematical and scientific explanation, the CTE can be extended to cover both non-causal explanations in science and mathematical explanations. In particular, a successful application of the CTE to mathematical explanations requires us (...) to rely on counterpossibles. We conclude that the CTE is a promising candidate for a monist account of explanation in both science and mathematics. (shrink)

Bas van Fraassen’s antirealist view of science and its aim, constructive empiricism, notoriously rests upon a distinction between observable and unobservable entities. In order to back his empiricist stance, the Dutch philosopher put forward his own characterization of observability. Nonetheless, he acknowledges that the point of constructive empiricism is not lost if the line is drawn in a somewhat different way from how he draws it. This means that other characterizations of observability can support this antirealist stance, provided they allow (...) for a viable distinction between the observable and the unobservable. The aim of this work, however, is not to propose another characterization of observability that fits constructive empiricism, but to put forward a little amendment to van Fraassen’s own antirealism, to the effect that it can actually be seen as a coherent position, albeit controversial, since its present consistency might be called into question. (shrink)

In recent years, the full text of papers are increasingly available electronically which opens up the possibility of quantitatively investigating citation contexts in more detail. In this study, we introduce a new form of citation analysis, which we call citation concept analysis (CCA). CCA is intended to reveal the cognitive impact certain concepts—published in a highly-cited landmark publication—have on the citing authors. It counts the number of times the concepts are mentioned (cited) in the citation context of citing publications. We (...) demonstrate the method using three classical highly cited books: (1) The structure of scientific revolutions by Thomas S. Kuhn, (2) The logic of scientific discovery—Logik der Forschung: Zur Erkenntnistheorie der modernen Naturwissenschaft in German—, and (3) Conjectures and refutations: the growth of scientific knowledge by Karl R. Popper. It is not surprising—as our results show—that Kuhn’s “paradigm” concept seems to have had a significant impact. What is surprising is that our results indicate a much larger impact of the concept “paradigm” than Kuhn’s other concepts, e.g., “scientific revolution”. The paradigm concept accounts for about 40% of the concept-related citations to Kuhn’s work, and its impact is resilient across all disciplines and over time. With respect to Popper, “falsification” is the most used concept derived from his books. Falsification is the cornerstone of Popper’s critical rationalism. (shrink)

We examine the sub-field of philosophy of science using a new method developed in information science, Referenced Publication Years Spectroscopy (RPYS). RPYS allows us to identify peak years in citations in a field, which promises to help scholars identify the key contributions to a field, and revolutionary discoveries in a field. We discovered that philosophy of science, a sub-field in the humanities, differs significantly from other fields examined with this method. Books play a more important role in philosophy of science (...) than in the sciences. Further, Einstein’s famous 1905 papers created a citation peak in the philosophy of science literature. But rather than being a contribution to the philosophy of science, their importance lies in the fact that they are revolutionary contributions to physics with important implications for philosophy of science. (shrink)

In this paper we discuss some proposed ways for defining the notions of structure and isomorphism between structures in the absence of formal language. We discuss Halvorson’s arguments against the semantic view conception of the notion of structure and Glymour and Lutz’s criticisms on Halvorson’s view. We suggest a new look at structures suggested by homotopy type theory (HoTT). This approach is consistent with both the syntactic and the semantic view in the philosophy of science.

Experience, it is widely agreed, constrains our thinking and is also thoroughly theory-laden. But how can it constrain our thinking while depending on what it purports to constrain? To address this issue, I revisit and carefully analyze the account of observation provided by Norwood Russell Hanson, who introduced the term ‘theory-ladenness of observation’ in the first place. I show that Hanson’s account provides an original and coherent response to the initial question and argue that, if suitably developed, his account provides (...) a distinctive, powerful, and attractive alternative to relationalist and standard representationalist conceptions of experience. (shrink)

The epistemic account and the noetic account hold that the essence of scientific progress is the increase in knowledge and understanding, respectively. Dellsén (2018) criticizes the epistemic account (Park, 2017a) and defends the noetic account (Dellsén, 2016). I argue that Dellsén’s criticisms against the epistemic account fail, and that his notion of understanding, which he claims requires neither belief nor justification, cannot explain scientific progress, although it can explain fictional progress in science-fiction.

In their recent “A modest defense of manifestationalism” (2015), Asay and Bordner defend this position from a quite famous criticism put forward by Rosen (1994), according to which while manifestationalism can be seen as more compatible with the letter of empiricism than other popular stances, such as constructive empiricism, it fails nonetheless to make sense of science. The two authors reckon that Rosen’s argument is actually flawed. In their view, manifestationalism could in fact represent a legitimate thesis about the nature (...) of scientific inquiry. In this paper, I will show that Asay and Bordner’s criticisms to Rosen are actually off target. Moreover, they rest upon an understanding of what the aim of science is that might serve to their purposes, but that does not seem to be in line with the scientific enterprise. Perhaps constructive empiricism still represents the best compromise so far presented between strict empiricism and the acknowledgment of the rationality of science. (shrink)

Astroparticle physics is an interdisciplinary field embracing astronomy, astrophysics and particle physics. In a recent paper on this topic, Brigitte Falkenburg defended that only scientific realism can make sense of it and that realist beliefs constitute an indispensable methodological principle of research in this discipline. The aim of this work is to show that there exists an anti-realist alternative to this account, along the lines of what Bas van Fraassen showed in his famous book The Scientific Image. Problems and results (...) of astroparticle physics can be understood from an empiricist point of view too, namely that of van Fraassen’s constructive empiricism, which is a more modest and metaphysics-free alternative to scientific realism. Although constructive empiricism can make sense of science no worse than scientific realism does, van Fraassen’s goal is not to demonstrate that his stance is the only viable position, but just that it is not incoherent or proven false by his opponents. In this paper it will be shown that the constructive empiricist stance constitutes a legitimate alternative to scientific realism even when it gets to astroparticle physics and that it does indeed make sense of this new discipline, pace Falkenburg. (shrink)

Science communication via testimony requires a certain level of trust. But in the context of ideologically-entangled scientific issues, trust is in short supply—particularly when the issues are politically ‘entangled’. In such cases, cultural values are better predictors than scientific literacy for whether agents trust the publicly-directed claims of the scientific community. In this paper, we argue that a common way of thinking about scientific literacy—as knowledge of particular scientific facts or concepts—ought to give way to a second-order understanding of science (...) as a process as a more important notion for the public’s trust of science. (shrink)

Much debate about scientific realism concerns the issue of whether it is compatible with theory change over time. Certain forms of ‘selective realism’ have been suggested with this in mind. Here I consider a closely related challenge for realism: that of articulating how a theory should be interpreted at any given time. In a crucial respect the challenges posed by diachronic and synchronic interpretation are the same; in both cases, realists face an apparent dilemma. The thinner their interpretations, the easier (...) realism is to defend, but at the cost of more substantial commitment. The more substantial their interpretations, the more difficult they are to defend. I consider this worry in the context of the Standard Model of particle physics. Examining some selective realist attempts at interpretation, I argue that realism is, in fact, compatible with different commitments on the spectrum of thinner to more substantial, thus mitigating the dilemma. (shrink)

There seems to be widespread agreement that there are two modal values: necessity and possibility. X is necessary if it is not possible that not-X; and Y is possible if it is not necessary that not-Y. In their path-breaking book, Rani Lill Anjum and Stephen Mumford defend the radical idea that there is a third modal value, weaker than necessity and stronger than possibility. This third value is dubbed 'dispositional modality' (DM) or 'tendency' and is taken to be an irreducible (...) and sui generis worldly modality: "the modality that's everywhere" (5). The source of DM is the causal powers of particulars; hence, DM is constitutively involved in causation: "a cause tends or disposes towards its effect, and can sometimes succeed in producing it" (9). Accordingly, DM is involved in all causal processes, from fundamental physics to the social and moral realm. This "deeply tendential view" (11) of the metaphysics of nature is advanced as distinct from both extant neo-Aristotelian and Humean views. Its key feature is that there is neither pure contingency nor necessitation in nature. (shrink)

It has been a singular privilege to preside over the BSHS as it celebrates its fiftieth anniversary. As we share our festivities with the British Association annual meeting at Leeds, I am doubly honoured to be giving this address. A fiftieth anniversary is a sentimental occasion. It is a moment when we can express our gratitude to our many friends and forebears who by their dedication have enabled the Society to grow and flourish. That so many of those friends should (...) be with us to share in our celebration is a source of delight to us all. To our past presidents, former editors, officers and councillors, I extend the warmest welcome. And to our visitors and guests from overseas, I should like to say how much we value your presence and contribution to this conference.Is there not, then, an incongruous note in my title – a hint of foreboding perhaps? If tempted to speculate on its source one might have wondered whether it is in those rumours we sometimes hear that the end of science is nigh. When we can almost clone humans and almost explain the moment of creation, what is there left? Might the end of science not spell the end of its history? A moment's reflection suggests that this cannot be. After all, the question why science should have come to an end when it did would still keep historians in business. And the more intriguing question of why the end of science has been proclaimed at the end of each of the last four centuries would keep us in business even longer! (shrink)

I propose a framework that explicates and distinguishes the epistemic roles of data and models within empirical inquiry through consideration of their use in scientific practice. After arguing that Suppes’ characterization of data models falls short in this respect, I discuss a case of data processing within exploratory research in plant phenotyping and use it to highlight the difference between practices aimed to make data usable as evidence and practices aimed to use data to represent a specific phenomenon. I then (...) argue that whether a set of objects functions as data or models does not depend on intrinsic differences in their physical properties, level of abstraction or the degree of human intervention involved in generating them, but rather on their distinctive roles towards identifying and characterizing the targets of investigation. The paper thus proposes a characterization of data models that builds on Suppes’ attention to data practices, without however needing to posit a fixed hierarchy of data and models or a highly exclusionary definition of data models as statistical constructs. (shrink)

In his last book (2008), Bas van Fraassen, the originator of constructive empiricism, put forward a table containing a categorization of images. His aim, however, was to discuss the reality of what they represent and not addressing the issue of images per se. One of the consequences is that it remained an open question what ‘public hallucinations’ - reflections in the water, rainbows and the like - are. In this paper it will be defended that only images in the relevant (...) (representational) sense should be considered as such. For this and other reasons, van Fraassen’s diagram should be amended. Moreover, as Physics teaches us, the class of the so-called ‘images’ that are actually objects is wider than van Fraassen reckons. The set of the observable objects do not contain only concrete things, but goes beyond what ‘common sense realism’ suggests. In addition to rocks, oceans and bicycles, we can also see rainbows, reflections in the water and the like. (shrink)