In a recent paper, Cumpa : 319–324, 2014) argues that a scientific turn in metaphysics requires the acceptance of a materialist criterion of fundamentality, according to which the most fundamental metaphysical category is the one that provides us with a reconciliation of the ordinary world and the physical universe. He concludes that the dominant category of substance cannot be the most fundamental category, for it does not satisfy this criterion of fundamentality. The most fundamental category is instead the (...) category of fact. Although convincing, the defense of factualism over substantialism offered by Cumpa takes into account the case of classical physics without considering the physical universe of quantum mechanics. My aim in this paper is to offer a completion to Cumpa’s factualist approach. To achieve my aim, I show that substances cannot provide a satisfactory account of the relationship between the ordinary world and the physical universe even in the case of quantum mechanics, whereas a factualist approach does. (shrink)

The last two years have seen the publication of two books in the genre of how-to fiction writing manuals that use science both as a selling point and as a genuine analytical par­adigm. The Science of Storytelling by Will Storr and The Science of Screenwriting by Paul Joseph Gulino and Connie Shears use insights from the cognitive sciences and evolution­ary psychology, while retaining their practical, how-to character. This review article goes through some of the main clusters of advice shared by (...) the two books, dealing with infor­mation processing, attention allocation, the implications of human sociality for fiction, and story structure, while fitting their takes on these issues within the fields of biocultural criticism and cultural evolution. Despite containing occasional flaws and confusions about theory common in pioneering works, these books could be harbingers of change for the genre and an important step in the bottom-up infusion of biocultural theory into literary studies. (shrink)

Olkowski proposes a model of phenomenology, both scientific and philosophical, that helps make sense of reality and composes an ethics for dealing with unpredictability in our world.

The anti-psychiatry movement of the 20th century has notably denounced the role of values and social norms in the shaping of psychiatric categories. Recent activist movements also recognize that psychiatry is value-laden, however, they do not fight for a value-free psychiatry. On the contrary, some activist movements of the 21st century advocate for self-advocacy in sciences of mental health in order to reach a more accurate understanding of psychiatric categories/mental distress. By aiming at such epistemic gain, they depart from the (...) anti-psychiatry movement. Through the analysis of the epistemic and political influence of two of these movements – Neurodiversity and the Mad Studies, we show how this new activism has taken a scientific turn compatible with current philosophical scientific frameworks, while still developing a critical approach on psychiatry. (shrink)

In this paper, I address the issue of scientific modelling in contemporary linguistics, focusing on the generative tradition. In so doing, I identify two common varieties of linguistic idealisation, which I call determination and isolation respectively. I argue that these distinct types of idealisation can both be described within the remit of Weisberg’s :639–659, 2007) minimalist idealisation strategy in the sciences. Following a line set by Blutner :27–35, 2011), I propose this minimalist idealisation analysis for a broad construal of (...) the generative linguistic programme and thus cite examples from a wide range of linguistic frameworks including early generative syntax, Minimalism, the parallel architecture and optimality theory. Lastly, I claim that from a modelling perspective, the dynamic turn in syntax can be explained as a continuation, as opposed to a marked shift, of the generative modelling paradigm. Seen in this light, my proposal is an even broader construal of the generative tradition, along scientific modelling lines. Thus, I offer a lens through which to appreciate the scientific contribution of generative grammar, amid an increased resistance to some of its core theoretical posits, in terms of a brand of structural realism in the philosophy of science and specifically scientific modelling. (shrink)

Isaac Newton's Scientific Method examines Newton's argument for universal gravity and his application of it to resolve the problem of deciding between geocentric and heliocentric world systems by measuring masses of the sun and planets. William L. Harper suggests that Newton's inferences from phenomena realize an ideal of empirical success that is richer than prediction. Any theory that can achieve this rich sort of empirical success must not only be able to predict the phenomena it purports to explain, but (...) also have those phenomena accurately measure the parameters which explain them. Harper explores the ways in which Newton's method aims to turn theoretical questions into ones which can be answered empirically by measurement from phenomena, and to establish that propositions inferred from phenomena are provisionally accepted as guides to further research. This methodology, guided by its rich ideal of empirical success, supports a conception of scientific progress that does not require construing it as progress toward Laplace's ideal limit of a final theory of everything, and is not threatened by the classic argument against convergent realism. Newton's method endorses the radical theoretical transformation from his theory to Einstein's. Harper argues that it is strikingly realized in the development and application of testing frameworks for relativistic theories of gravity, and very much at work in cosmology today. (shrink)

In order to present the incidence of the dynamic turn in the logic of scientific research, we begin with a section, in this article, that deals with logical games as triggers of this dynamic turn in contemporary logic, together with the program of logical dynamics of information and interaction. We briefly introduce the main characteristics of the logic favorable to independence and the game-theoretical semantics, of dialogical logic, as well as the essential elements of this program. Although (...) from any of these points of view we have a list of logical tools to deal with more clearly epistemological issues, we highlight the role of dynamic epistemic logic, to which we dedicate the following section. There follows another one in which we enter the logical studies of abduction as one of the fundamental problems of contemporary epistemology and, in a new section, in terms of the theoretical constructs of the preceding sections, we present and explain a phenomenon that emerged in the field of linguistics, the case of the discovery of the Amazonian language pirahã, which should be considered an anomaly within the framework of the Chomskian theory. (shrink)

Isaac Newton's Scientific Method examines Newton's argument for universal gravity and his application of it to resolve the problem of deciding between geocentric and heliocentric world systems by measuring masses of the sun and planets. William L. Harper suggests that Newton's inferences from phenomena realize an ideal of empirical success that is richer than prediction. Any theory that can achieve this rich sort of empirical success must not only be able to predict the phenomena it purports to explain, but (...) also have those phenomena accurately measure the parameters which explain them. Harper explores the ways in which Newton's method aims to turn theoretical questions into ones which can be answered empirically, by measurement from phenomena, and to establish that propositions inferred from phenomena are provisionally accepted as guides to further research. This methodology, guided by its rich ideal of empirical success, supports a conception of scientific progress that does not require construing it as progress toward Laplace's ideal limit of a final theory of everything, and is not threatened by the classic argument against convergent realism. Newton's method endorses the radical theoretical transformation from his theory to Einstein's. Harper argues that it is strikingly realized in the development and application of testing frameworks for relativistic theories of gravity, and very much at work in cosmology today. (shrink)

Straightening the current ‘value-laden turn’ (VLT) in the philosophical literature on values in science, and reviving the legacy of the value-free ideal of science (VFI), this paper argues that the influence of extra-scientific values should be minimised—not excluded—in the core phase of scientific inquiry where claims are accepted or rejected. Noting that the original arguments for the VFI (ensuring the truth of scientific knowledge, respecting the autonomy of science results users, preserving public trust in science) have (...) not been satisfactorily addressed by proponents of the VLT, it proposes four prerequisites which any model for values in the acceptance/rejection phase of scientific inquiry should respect, coming from the fundamental requirement to distinguish between facts and values: (1) the truth of scientific knowledge must be ensured; (2) the uncertainties associated with scientific claims must be stated clearly; (3) claims accepted into the scientific corpus must be distinguished from claims taken as a basis for action. An additional prerequisite of (4) simplicity and systematicity is desirable, if the model is to be applicable. Methodological documents from international institutions and regulation agencies are used to illustrate the prerequisites. A model combining Betz’s conception (stating uncertainties associated with scientific claims) and Hansson’s corpus model (ensuring the truth of the scientific corpus and distinguishing it from other claims taken as a basis for action) is proposed. Additional prerequisites are finally suggested for future research, stemming from the requirement for philosophy of science to self-reflect on its own values: (5) any model for values in science must be descriptively and normatively relevant; and (6) its consequences must be thoroughly assessed. (shrink)

Recognizing the necessary social aspects of scientific knowledge leads to a serious shift in the analysis of science. Whereas until recently the study of scientific knowledge in terms of its social qualities began with its logical structure, today the primary focuses of analysis are the human brain, the material carrier of computer programs, the economic relations in the society of commodity production, and so forth. All of this is not science, but is involved in the production of new (...) knowledge. The boundary between the spiritual and the material, between the scientific and nonscientific is blurred. To study this phenomenon, the vector of research shifts: social qualities are not sought in scientific knowledge, but the external world of non-science exhibits signs of the presence of the spiritual in the form of emerging scientific knowledge. (shrink)

Machine learning systems have shown great potential for performing or supporting inferential reasoning through analyzing large data sets, thereby potentially facilitating more informed decision-making. However, a hindrance to such use of ML systems is that the predictive models created through ML are often complex, opaque, and poorly understood, even if the programs “learning” the models are simple, transparent, and well understood. ML models become difficult to trust, since lay-people, specialists, and even researchers have difficulties gauging the reasonableness, correctness, and reliability (...) of the inferences performed. In this article, we argue that bridging this gap in the understanding of ML models and their reasonableness requires a focus on developing an improved methodology for their creation. This process has been likened to “alchemy” and criticized for involving a large degree of “black art,” owing to its reliance on poorly understood “best practices”. We soften this critique and argue that the seeming arbitrariness often is the result of a lack of explicit hypothesizing stemming from an empiricist and myopic focus on optimizing for predictive performance rather than from an occult or mystical process. We present some of the problems resulting from the excessive focus on optimizing generalization performance at the cost of hypothesizing about the selection of data and biases. We suggest embedding ML in a general logic of scientific discovery similar to the one presented by Charles Sanders Peirce, and present a recontextualized version of Peirce’s scientific hypothesis adjusted to ML. (shrink)

Through the analysis of photographs and newspapers, I analyze specific representations of indigenous people and cultures in the public arena, such as in museums and World’s Fairs. Using and modifying Edward Said’s model of Orientalism, I argue that these representations reinforced problematic and damaging ideas about aboriginal people.

This paper traces the intellectual trajectories of the first stand-alone theories of action, understood as both axiologically neutral and quasi-scientific from a methodological point of view. I argue that the rise of action theory of this kind corresponds to a particular moment of dissatisfaction within Western thought, and as such, it tells us far more about the history of philosophy than the subject itself. I conclude by explaining why subsequent failures to provide an acceptable theory of action are not (...) accidental. On the contrary, such failures owe themselves probably to the fact that formulating a theory of action is neither propitious nor useful. Thus, the most valuable lesson we can learn from philosophical desires for a theory of action is that we should take co-action as the starting point in our normative investigations, rather than positing action simpliciter as a problem to solve. That is, we should move away from propounding a theory of action, and instead focus on a paradigm shift, whereby we move away from a representational, towards a co-actional, model of action. (shrink)

In recent years there has been a noticeable yet largely unacknowledged ‘pragmatic turn’ in the scientific realism debate, inspired in part by van Fraassen’s work on ‘epistemic stances’. Features of this new approach include: an ascent to the meta-level (the focus is not so much on whether scientific realism is true, but on the prior questions of the nature of the positions in this debate, how to decide whether to be a scientific realist, etc.); a reinterpretation (...) of scientific realism and anti-realism as (or as closely associated with) stances or frameworks, rather than theories or beliefs; a move away from the previously dominant empirical-explanatory (i.e. quasi-scientific or naturalistic) conception of scientific realism, anti-realism, and their justification; and a stress on the pragmatic and values-based elements in the debate. The traditional scientific realism debate is concerned with determining which position is true, or most epistemically justified. The new approach by contrast is concerned with determining which position best serves certain values, e.g. is most useful, fruitful, or otherwise prudentially preferable. In this paper we try to bring together the various strands in this new orientation, summarise its key features, contrast it with superficially similar but opposing views, and explore the similarities and differences among some of its adherents. Given we are advocates of the turn, we also offer a defence of the value and fruitfulness of this reconceptualization of the debate. (shrink)

This book reconstructs the rise and fall of Wilhelm Wundt’s fortunes, focusing for the first time on the role of Richard Avenarius as catalyst for the so-called “positivist repudiation of Wundt.” Krauss specifically looks at the progressive disavowal of Wundtian ideas in the world of scientific psychology, and especially by his former pupils. This book provides important historical context and a critical discussion of the current state of research, in addition to a detailed consideration of Wundt’s and Avenarius’ systems (...) of thought, as well as on their personal relationship. The author outlines the reception of Avenarius’ conceptions among Wundt’s pupils, such as Külpe, Münsterberg and Titchener, and among other psychologists of the time, such as Ward, James and Ebbinghaus. Finally, this book presents Wundt’s two-fold attempt to respond to the new trend through a criticism of the “materialistic” psychology, and a reformulation of his own ideas. (shrink)

This paper argues that Weyl's view that scientific objectivity requires that concepts be freely created, i.e., introduced via Hilbert-style axiomatizations, led him to abandon the phenomenological view of objectivity.

Not a full treatment of Newton’s scientific method, this book discusses his optical research only in passing (342–43). Its subtitle better indicates its scope: it focuses narrowly on the argument for universal gravitation in Book III of the Principia. The philosophical project is to set out an “ideal of empirical success” realized by the argument. Newton claims his method is to “deduce” propositions “from phenomena.” On Harper’s interpretation Newton’s phenomena are patterns of data, which are used to measure “parameters” (...) by which the theory explains them. An example is Kepler’s Area Rule. Its fit to the data confirms the hypothesis that the force maintaining a body in orbit is directed toward the .. (shrink)

SUMMARYThis study is centred on events in 1580 surrounding a scandalous publication of Machiavelli’s The Prince by Pietro Perna in Basel. With the presentation of new documents the paper fully reconstructs the judicial case that followed its publication, raising new questions about the author of the infamous book Vindiciae contra tyrannos. However, this fascinating story will serve only as a starting point for the investigation of Machiavelli's late-sixteenth-century reception, providing insights into not only the political and religious but also the (...) scientific context of its publication. These fields, it will be argued, were thoroughly interrelated, all sharing similar epistemological premises. (shrink)

Vygotsky has become an authority, but the authority has more to do with justifying a sociocultural relativism than it has with his Marxist objectivist approach to psychology and pedagogy. This paper is an attempt to understand Vygotsky's perspective in relation to Marxist epistemology, and will critically examine the sociocultural interpretation of Vygotsky but within the light of his own perspective. It will be shown that the relativism of the sociocultural school not only takes Vygotsky's zone of proximal development out of (...) its social and historical context, but as a consequence downplays the zone of proximal development as a dynamic research methodology. As an extension of the discussion of the zone of proximal development, this paper will also examine the sociocultural interpretation of Vygotsky's relation between scientific and everyday concepts, and the pedagogical consequences of such an interpretation. (shrink)

The central contention of this article is that the classificatory scheme of contemporary affective science, with its traditional categories of emotion, anger, fear, and so on, is no longer suitable to the needs of affective science. Unlike psychological constructionists, who have urged the transition from a discrete to a dimensional approach in the study of affective phenomena, I argue that we can stick to a discrete approach as long as we accept that traditional emotion categories will have to be transformed (...) in order to do any scientific work. I conclude by articulating some general rules for turning traditional emotion categories into suitable scientific tools. (shrink)

Following on from Roy Bhaskarâe(tm)s first two books, A Realist Theory of Science and The Possibility of Naturalism, Scientific Realism and Human Emancipation, establishes the conception of social science as explanatoryâe"and thence emancipatoryâe"critique. Scientific Realism and Human Emancipation starts from an assessment of the impasse of contemporary accounts of science as stemming from an incomplete critique of positivism. It then proceeds to a systematic exposition of scientific realism in the form of transcendental realism, highlighting a conception of (...) science as explanatory of a structured, differentiated and changing world. Turning to the social domain, the book argues for a view of the social order as conditioned by, and emergent from, nature. Advocating a critical naturalism, the author shows how the transformational model of social activity together with the conception of social science as explanatory critique which it entails, resolves the divisions and dualisms besetting orthodox social and normative theory: between society and the individual, structure and agency, meaning and behavior, mind and body, reason and cause, fact and value, and theory and practice. The book then goes on to discuss the emancipatory implications of social science and sketches the nature of the depth investigation characteristically entailed. In the highly innovative third part of the book Roy Bhaskar completes his critique of positivism by developing a theory of philosophical discourse and ideology, on the basis of the transcendental realism and critical naturalism already developed, showing how positivism functions as a restrictive ideology of and for science and other social practices. (shrink)

There is proposed the analysis of conceptual foundations in researching of Poles’ national character on materials of Julian Leopold Ochorowicz (1850-1917) scientific heritage connected with philosophical and pedagogical implications of his ideas. Ochorowicz’s contribution to interdisciplinary approach on Poles’ national character is emphasizing. The heuristically potential of this approach is explicated using reconstruction and systemizing of his views, which had played a significant role in determining intentionality in discussions on the matter «What philosophy do Poles need?” for the successful (...) self-statement in their national being. Critically evaluating of this experience there is combined with verifying of his theoretical assumptions that should be actual also in Ukrainian social and cultural contexts. Ochorowicz belongs to the group of outstanding Polish scholars with wide scientific interests and original achievements. This article presents his research on history perceived as a collective psychological process. In Poland, Ochorowicz should be regarded as a precursor of psychohistory. An important role in his conception is played by the theory of the so-called residual symptoms, on the basis of which he developed the concept of Poles’ national character with its educational implications. The question about the rudiments of our national character sharpens in border situations, in which those traits, previously presented in a declarative form, are verified. The strength of a nation is encoded in the irreal sphere, i.e. in the sphere of values around which people group themselves. (shrink)

Philosophers, historians, and sociologists of science have grown interested in the daily practices of scientists. Recent studies have drawn linkages between scientific innovations and more ordinary procedures, craft skills, and sources of sponsorship. These studies dispute the idea that science is the application of a unified method or the outgrowth of a progressive history of ideas. This book critically reviews arguments and empirical studies in two areas of sociology that have played a significant role in the 'sociological turn' (...) in science studies: ethnomethodology and the sociology of scientific knowledge. In both fields, efforts to study scientific practices have led to intractable difficulties and debates, due in part to scientistic and foundationalist commitments that remain entrenched with social-scientific research policies and descriptive language. The central purpose of this book is to explore the possibility of an empirical approach to the epistemic contents of science that avoids the pitfalls of scientism and foundationalism. (shrink)

Perspectivism is often understood as a conception according to which subjective conditions inevitably affect our knowledge and, therefore, we are never confronted with reality and facts but only with interpretations. Hence, subjectivism and anti-realism are usually associated with perspectivism. The thesis of this paper is that, especially in the case of the sciences, perspectivism can be better understood as an appreciation of the cognitive attitude that consists in considering reality only from a certain ‘point of view’, in a way that (...) can avoid subjectivism. Whereas the way of conceiving a notion is strictly subjective, the way of using it is open to intersubjective agreement, based on the practice of operations whose nature is neither mental nor linguistic. Therefore, intersubjectivity is possible within perspectivism. Perspectivism can also help understand the notion of ‘scientific objects’ in a referential sense: they are those ‘things’ that become ‘objects’ of a certain science by being investigated from the ‘point of view’ of that science. They are ‘clipped out’ of things by means of standardized operations which turn out to be the same as those granting intersubjectivity. Therefore this ‘strong’ sense of objectivity, which is clearly realist, coincides with the ‘weak’ one. The notion of truth appears fully legitimate in the case of the sciences, being clearly defined for the regional ontology of each one of them and, since this truth can be extended in an analogical sense to the theories elaborated in each science, it follows that are real also the unobservable entities postulated by those theories. (shrink)

Issues concerning scientific explanation have been a focus of philosophical attention from Pre- Socratic times through the modern period. However, recent discussion really begins with the development of the Deductive-Nomological (DN) model. This model has had many advocates (including Popper 1935, 1959, Braithwaite 1953, Gardiner, 1959, Nagel 1961) but unquestionably the most detailed and influential statement is due to Carl Hempel (Hempel 1942, 1965, and Hempel & Oppenheim 1948). These papers and the reaction to them have structured subsequent discussion (...) concerning scientific explanation to an extraordinary degree. After some general remarks by way of background and orientation (Section 1), this entry describes the DN model and its extensions, and then turns to some well-known objections (Section 2). It next describes a variety of subsequent attempts to develop alternative models of explanation, including Wesley Salmon's Statistical Relevance (Section 3) and Causal Mechanical (Section 4) models and the Unificationist models due to Michael Friedman and Philip Kitcher (Section 5). Section 6 provides a summary and discusses directions for future work. (shrink)

According to some prominent accounts of scientific progress, e.g. Bird’s epistemic account, accepting new theories is progressive only if the theories are justified in the sense required for knowledge. This paper argues that epistemic justification requirements of this sort should be rejected because they misclassify many paradigmatic instances of scientific progress as non-progressive. In particular, scientific progress would be implausibly rare in cases where (a) scientists are aware that most or all previous theories in some domain have (...) turned out to be false, (b) the new theory was a result of subsuming and/or logically strengthening previous theories, or (c) scientists are aware of significant peer disagreement about which theory is correct. (shrink)

Many scientific models are representations. Building on Goodman and Elgin’s notion of representation-as we analyse what this claim involves by providing a general definition of what makes something a scientific model, and formulating a novel account of how they represent. We call the result the DEKI account of representation, which offers a complex kind of representation involving an interplay of, denotation, exemplification, keying up of properties, and imputation. Throughout we focus on material models, and we illustrate our claims (...) with the Phillips-Newlyn machine. In the conclusion we suggest that, mutatis mutandis, the DEKI account can be carried over to other kinds of models, notably fictional and mathematical models. (shrink)

Feminist philosophers of science have been prominent amongst social epistemologists who draw attention to communal aspects of knowing. As part of this work, I focus on the need to examine the relations between scientific communities and lay communities, particularly marginalized communities, for understanding the epistemic merit of scientific practices. I draw on Naomi Scheman's argument (2001) that science earns epistemic merit by rationally grounding trust across social locations. Following this view, more turns out to be relevant to epistemic (...) assessment than simply following the standards of "normal science". On such an account, philosophers of science need to attend to the relations between scientific communities and various lay communities, especially marginalized communities, to understand how scientific practices can rationally ground trust and thus earn their status as "good ways of knowing". Trust turns out to involve a wide set of expectations on behalf of lay communities. In this paper I focus on expectations of knowledge sharing, using examples of "knowledge-sharing whistleblowers" to illustrate how failures in knowledge sharing with lay communities can erode epistemic trust in scientific communities, particularly in the case of marginalized communities. (shrink)

This is an introduction to the volume "Explanation Beyond Causation: Philosophical Perspectives on Non-Causal Explanations", edited by A. Reutlinger and J. Saatsi (OUP, forthcoming in 2017). -/- Explanations are very important to us in many contexts: in science, mathematics, philosophy, and also in everyday and juridical contexts. But what is an explanation? In the philosophical study of explanation, there is long-standing, influential tradition that links explanation intimately to causation: we often explain by providing accurate information about the causes of the (...) phenomenon to be explained. Such causal accounts have been the received view of the nature of explanation, particularly in philosophy of science, since the 1980s. However, philosophers have recently begun to break with this causal tradition by shifting their focus to kinds of explanation that do not turn on causal information. The increasing recognition of the importance of such non-causal explanations in the sciences and elsewhere raises pressing questions for philosophers of explanation. What is the nature of non-causal explanations - and which theory best captures it? How do non-causal explanations relate to causal ones? How are non-causal explanations in the sciences related to those in mathematics and metaphysics? This volume of new essays explores answers to these and other questions at the heart of contemporary philosophy of explanation. The essays address these questions from a variety of perspectives, including general accounts of non-causal and causal explanations, as well as a wide range of detailed case studies of non-causal explanations from the sciences, mathematics and metaphysics. (shrink)

Scientific essentialism holds that: (1) each scientific kind is associated with the same set of properties in every possible world; and (2) every individual member of a scientific kind belongs to that kind in every possible world in which it exists. Recently, Ellis (Scientific essentialism, 2001 ; The philosophy of nature 2002 ) has provided the most sustained defense of scientific essentialism, though he does not clearly distinguish these two claims. In this paper, I argue (...) that both claims face a number of formidable difficulties. The necessities of scientific essentialism are not adequately distinguished from semantic necessities, they have not been shown to be necessities in the strictest sense, they must be relativized to context, and they must either be confined to a subset of scientific properties without warrant or their connection to causal powers must be revoked. Moreover, upon closer examination (1) turns out to be a trivial thesis that can be satisfied by non-kinds, and (2) is inapplicable to some of the most fundamental kinds in the basic sciences. (shrink)

This paper develops a stronger version of ‘inference-to-the-best explanation’ scientific realism. I argue against three standard assumptions of current realists: realism is confirmed if it provides the best explanation of theories’ predictive success ; the realist claim that successful theories are always approximately true provides the best explanation of their success ; and realists are committed to giving the same sort of truth-based explanation of superseded theories’ success that they give to explain our best current theories’ success. On the (...) positive side, I argue that the confirmation of realism requires explaining theories’ explanatory success, not just their predictive success ; in turn this task requires a richer realist model of explanation that brings into the explanans both successful theories’ epistemic virtues and the standards governing these virtues, as well as truth; this richer realist model is further confirmed because it can better explain the success of theories in gaining wide acceptance among scientists; and the model is further supported because it is superior to ‘preservative realism ’ in providing a plausible rebuttal of the pessimistic meta-induction from the many past successful-but-false theories to the like- lihood that our best current theories are likewise false. (shrink)

According to one large family of views, scientific explanations explain a phenomenon (such as an event or a regularity) by subsuming it under a general representation, model, prototype, or schema (see Bechtel, W., & Abrahamsen, A. (2005). Explanation: A mechanist alternative. Studies in History and Philosophy of Biological and Biomedical Sciences, 36(2), 421–441; Churchland, P. M. (1989). A neurocomputational perspective: The nature of mind and the structure of science. Cambridge: MIT Press; Darden (2006); Hempel, C. G. (1965). Aspects of (...) scientific explanation. In C. G. Hempel (Ed.), Aspects of scientific explanation (pp. 331–496). New York: Free Press; Kitcher (1989); Machamer, P., Darden, L., & Craver, C. F. (2000). Thinking about mechanisms. Philosophy of Science, 67(1), 1–25). My concern is with the minimal suggestion that an adequate philosophical theory of scientific explanation can limit its attention to the format or structure with which theories are represented. The representational subsumption view is a plausible hypothesis about the psychology of understanding. It is also a plausible claim about how scientists present their knowledge to the world. However, one cannot address the central questions for a philosophical theory of scientific explanation without turning one’s attention from the structure of representations to the basic commitments about the worldly structures that plausibly count as explanatory. A philosophical theory of scientific explanation should achieve two goals. The first is explanatory demarcation. It should show how explanation relates with other scientific achievements, such as control, description, measurement, prediction, and taxonomy. The second is explanatory normativity. It should say when putative explanations succeed and fail. One cannot achieve these goals without undertaking commitments about the kinds of ontic structures that plausibly count as explanatory. Representations convey explanatory information about a phenomenon when and only when they describe the ontic explanations for those phenomena. (shrink)

For much of the last forty years, certain shared epistemological concerns have guided research in both the history and the philosophy of science: the testing of theory , the assessment of evidence, the bearing of theoretical and metaphysical assumptions on the reality of scientific objects, and, above all, the interaction of subjective and objective factors in scientific inquiry. This essay proposes a turn toward ontology—more specifically, toward the ontologies created and sustained by scientific observation. Such a (...) shift in focus would invite a rethinking of the neo‐Kantian distinctions that have, implicitly or explicitly, informed much of late twentieth‐century history and philosophy of science. In particular, the current gap between psychology and epistemology might be bridged, if the psychology in question were collective rather than individual and the epistemology oriented toward discovery rather than warranting and testing. (shrink)

Phase transitions are an important instance of putatively emergent behavior. Unlike many things claimed emergent by philosophers, the alleged emergence of phase transitions stems from both philosophical and scientific arguments. Here we focus on the case for emergence built from physics, in particular, arguments based upon the infinite idealization invoked in the statistical mechanical treatment of phase transitions. After teasing apart several challenges, we defend the idea that phase transitions are best thought of as conceptually novel, but not ontologically (...) or explanatorily irreducible to finite physics; indeed, by looking at ongoing work on “smooth phase transitions” we even suggest that they’re not even conceptually novel. In the case of renormalization group theory, consideration of infinite systems and their singular behavior provides a central theoretical tool, but this is compatible with an explanatory reduction. Phase transitions may be “emergent” in some sense of this protean term, but not in a sense that is incompatible with the reductionist project broadly construed. (shrink)

Intuitively, science progresses from truth to truth. A glance at history quickly reveals that this idea is mistaken. We often learn from scientific theories that turned out to be false. This chapter focuses on a different challenge: Idealisations are deliberately and ubiquitously used in science. Scientists thus work with assumptions that are known to be false. Any account of scientific progress needs to account for this widely accepted scientific practice. It is examined how the four dominant accounts—the (...) problem-solving account, the truthlikeness account, the epistemic account, and the noetic account—can cope with the challenge from idealisation, with an eye on indispensable idealisations. One upshot is that, on all accounts, idealisations can promote progress. Only some accounts allow them to constitute progress. (shrink)

In this paper I argue that physics makes metaphysical presuppositions concerning the physical comprehensibility, the dynamic unity, of the universe. I argue that rigour requires that these metaphysical presuppositions be made explicit as an integral part of theoretical knowledge in physics. An account of what it means to assert of a theory that it is unified is developed, which provides the means for partially ordering dynamical physical theories with respect to their degrees of unity. This in turn makes it (...) possible to assess the empirical fruitfulness of (some) metaphysical theses, in terms of the extent to which they play a role in empirically progressive scientific research programmes. A new conception of physics is developed which makes metaphysical theses an integral part of physics and which, at the same time, makes it possible to assess such theses in terms of their empirical fruitfulness. Circularity objections are rebutted. (shrink)

ABSTRACT In the second decade of the twentieth century a new subject appeared in American high schools, aimed at providing citizens with an understanding of the essential nature of scientific thinking. “General science,” as it was called, was developed and promoted by an emerging class of professional educators who sought to offer a version of science that they believed would both excite public interest and prove useful in the everyday lives of the masses of students streaming into the rapidly (...) expanding institution of secondary education. It was to be a course with real utility that would transcend the boundaries of the specialized, abstract disciplinary subjects like chemistry and physics—subjects with identities tied to the practices and standards of the colleges and universities, which had long exerted control over the content of secondary schooling. This essay recounts the origins of general science and, in particular, examines how the intellectual and material environment of the city of Chicago at the turn of the century influenced the course that was produced and widely adopted in school programs across the United States. (shrink)

This book tells the story of the Scientific Buddha, "born" in Europe in the 1800s but commonly confused with the Buddha born in India 2,500 years ago. The Scientific Buddha was sent into battle against Christian missionaries, who were proclaiming across Asia that Buddhism was a form of superstition. He proved the missionaries wrong, teaching a dharma that was in harmony with modern science. And so his influence continues. Today his teaching of "mindfulness" is heralded as the cure (...) for all manner of maladies, from depression to high blood pressure.In this potent critique, a well-known chronicler of the West's encounter with Buddhism demonstrates how the Scientific Buddha's teachings deviate in crucial ways from those of the far older Buddha of ancient India. Donald Lopez shows that the Western focus on the Scientific Buddha threatens to bleach Buddhism of its vibrancy, complexity, and power, even as the superficial focus on "mindfulness" turns Buddhism into merely the latest self-help movement. The Scientific Buddha has served his purpose, Lopez argues. It is now time for him to pass into nirvana. This is not to say, however, that the teachings of the ancient Buddha must be dismissed as mere cultural artifacts. They continue to present a meaningful challenge, even to our modern world. (shrink)

Penelope Maddy and Elliott Sober recently attacked the confirmational indispensability argument for mathematical realism. We cannot count on science to provide evidence for the truth of mathematics, they say, because either scientific testing fails to confirm mathematics (Sober) or too much mathematics occurs in false scientific theories (Maddy). I present a pragmatic indispensability argument immune to these objections, and show that this argument supports mathematical realism independently of scientific realism. Mathematical realism, it turns out, may be even (...) more firmly established than scientific realism. (shrink)

In this article I connect two debates in the philosophy of science: the questions of scientific representation and both model and theoretical equivalence. I argue that by paying attention to how a model is used to draw inferences about its target system, we can define a notion of theoretical equivalence that turns on whether models license the same claims about the same target systems. I briefly consider the implications of this for two questions that have recently been discussed in (...) the context of the formal philosophy of science. (shrink)