The mind-body relation was at the forefront of philosophy and theology in late antiquity, a time of great intellectual innovation. This volume, the first integrated history of this important topic, explores ideas about mind and body during this period, considering both pagan and Christian thought about issues such as resurrection, incarnation and asceticism. A series of chapters presents cutting-edge research from multiple perspectives, including history, philosophy, classics and theology. Several chapters survey wider themes which provide context for detailed studies of (...) the work of individual philosophers including Numenius, Pseudo-Dionysius, Damascius and Augustine. Wide-ranging and accessible, with translations given for all texts in the original language, this book will be essential for students and scholars of late antique thought, the history of religion and theology, and the philosophy of mind. (shrink)

Ever since David Hume, empiricists have barred powers and capacities from nature. In this book Cartwright argues that capacities are essential in our scientific world, and, contrary to empiricist orthodoxy, that they can meet sufficiently strict demands for testability. Econometrics is one discipline where probabilities are used to measure causal capacities, and the technology of modern physics provides several examples of testing capacities (such as lasers). Cartwright concludes by applying the lessons of the book about capacities and probabilities (...) to the explanation of the role of causality in quantum mechanics. (shrink)

Preterm birth is defined as delivery occurring before 37 weeks gestation.1 Infants born prematurely have increased risks of morbidity and mortality throughout life, especially during the first year. These risks increase as the gestational age at birth decreases.2 Additionally, there are significant racial and ethnic differences in preterm birth rates. In 2022, the rate of preterm birth among non-Hispanic black women was approximately 50% higher than that observed in non-Hispanic white women.1 The outcomes for these infants are also disparate–preterm birth (...) and low birth weight are the second-leading causes of infant mortality (deaths before 1 year of age). Notably, among preterm neonates, infants born to non-Hispanic black women have a mortality rate more than double that of infants born to non-Hispanic white mothers.3 Importantly, there is a small but significant group of neonates that can be classified as severely premature (those born <28 weeks). Infants born before 28 weeks have varied and uncertain outcomes. While this group accounts for only 0.4% of preterm births, it also accounts for 40% of deaths among preterm neonates.4 As noted by Romanis and Adkins, the advent of artificial amnion and placenta technology (AAPT) holds promise for its potential to address the physiologic complications and mortality risks of extreme prematurity by introducing amniotic substitutes that mimic in vivo placental oxygenation and substrate delivery. In contrast …. (shrink)

How can philosophy of science be of more practical use? One thing we can do is provide practicable advice about how to determine when one empirical claim is relevant to the truth of another; i.e., about evidential relevance. This matters especially for evidence-based policy, where advice is thin—and misleading—about how to tell what counts as evidence for policy effectiveness. This paper argues that good efficacy results (as in randomized controlled trials), which are all the rage now, are only a very (...) small part of the story. To tell what facts are relevant for judging policy effectiveness, we need to construct causal scenarios about will happen when the policy is implemented. (shrink)

The philosophical difficulties presented by self-deception are vexed and multifaceted. One such difficulty is what I call the ‘doxastic problem’ of self-deception. Solving the doxastic problem involves determining whether someone in a state of self-deception that ∼p both believes that p and believes that ∼p, simply holds one or the other belief, or, as I will argue, holds neither. This final option, which has been almost entirely overlooked to-date, is what I call ‘ nondoxasticism ’ about self-deception. In this article, (...) I present a negative case for nondoxasticism according to which, in the paradigm case of self-deception, there is no explanatory need to attribute the self-deceived person either their undesired belief that p, or their desired belief that ∼p. Folk psychology is replete with concepts other than belief, and if we bear this in mind, it becomes clear that the explanatory roles for which the self-deceived person's purported beliefs have traditionally been enlisted can be comfortably filled without recourse to belief. (shrink)

The claims of RCTs to be the gold standard rest on the fact that the ideal RCT is a deductive method: if the assumptions of the test are met, a positive result implies the appropriate causal conclusion. This is a feature that RCTs share with a variety of other methods, which thus have equal claim to being a gold standard. This paper describes some of these other deductive methods and also some useful non-deductive methods, including the hypothetico-deductive method. It argues (...) that with all deductive methods, the benefit that the conclusions follow deductively in the ideal case comes with a great cost: narrowness of scope. This is an instance of the familiar trade-off between internal and external validity. RCTs have high internal validity but the formal methodology puts severe constraints on the assumptions a target population must meet to justify exporting a conclusion from the test population to the target. The paper reviews one such set of assumptions to show the kind of knowledge required. The overall conclusion is that to draw causal inferences about a target population, which method is best depends case-by-case on what background knowledge we have or can come to obtain. There is no gold standard. (shrink)

This article takes as its starting point the central place given to contradiction by Hermann Goldschmidt in his book Contradiction Set Free, and it compares his approach with that of the philosopher Vladimir Jankélévitch. At the same time as Goldschmidt, Jankélévitch also assigned a central role to contradiction in thought, so much so that he often referred to his own philosophical method as “paradoxology.” For him, as for Goldschmidt, paradox is the driving force behind thought that is always on the (...) move. This article presents the main features of Jankélévitch’s paradoxology and illustrates it with two themes: forgiveness and Jewish identity. By highlighting this proximity between Goldschmidt’s approach and that of Jankélévitch, I suggest that they are both part of a more general movement in continental philosophy in the second half of the twentieth century, one of whose main challenges was to rethink philosophical rationality in depth. (shrink)

For evidence-based practice and policy, randomised controlled trials (RCTs) are the current gold standard. But exactly why? We know that RCTs do not, without a series of strong assumptions, warrant predictions about what happens in practice. But just what are these assumptions? I maintain that, from a philosophical stance, answers to both questions are obscured because we don't attend to what causal claims say. Causal claims entering evidence-based medicine at different points say different things and, I would suggest, failure to (...) attend to these differences makes much current guidance about evidence for medical and social policy misleading. (shrink)

The claims of RCTs to be the gold standard rest on the fact that the ideal RCT is a deductive method: if the assumptions of the test are met, a positive result implies the appropriate causal conclusion. This is a feature that RCTs share with a variety of other methods, which thus have equal claim to being a gold standard. This paper describes some of these other deductive methods and also some useful non-deductive methods, including the hypothetico-deductive method. It argues (...) that with all deductive methods, the benefit that the conclusions follow deductively in the ideal case comes with a great cost: narrowness of scope. This is an instance of the familiar trade-off between internal and external validity. RCTs have high internal validity but the formal methodology puts severe constraints on the assumptions a target population must meet to justify exporting a conclusion from the test population to the target. The paper reviews one such set of assumptions to show the kind of knowledge required. The overall conclusion is that to draw causal inferences about a target population, which method is best depends case-by-case on what background knowledge we have or can come to obtain. There is no gold standard. (shrink)

William James famously tells us that there are two main goals for rational believers: believing truth and avoiding error. I argues that epistemic consequentialism—in particular its embodiment in epistemic utility theory—seems to be well positioned to explain how epistemic agents might permissibly weight these goals differently and adopt different credences as a result. After all, practical versions of consequentialism render it permissible for agents with different goals to act differently in the same situation. -/- Nevertheless, I argue that epistemic consequentialism (...) doesn’t allow for this kind of permissivism and goes on to argue that this reveals a deep disanalogy between decision theory and the formally similar epistemic utility theory. This raises the question whether epistemic utility theory is a genuinely consequentialist theory at all. (shrink)

Causation is in trouble—at least as it is pictured in current theories in philosophy and in economics as well, where causation is also once again in fashion. In both disciplines the accounts of causality on offer are either modelled too closely on one or another favoured method for hunting causes or on assumptions about the uses to which causal knowledge can be put—generally for predicting the results of our efforts to change the world. The first kind of account supplies no (...) reason to think that causal knowledge, as it is pictured, is of any use; the second supplies no reason to think our best methods will be reliable for establishing causal knowledge. So, if these accounts are all there is to be had, how do we get from method to use? Of what use is knowledge of causal laws that we work so hard to obtain? (shrink)

A rich literature has discussed what it is to respond to a reason, e.g., to believe or act on the basis of some consideration or another. In comparison, what it would be to respond to a second-order reason has been underexplored. Yet formulating an account of this is vital for maintaining the existence of second-order reasons in both the practical and epistemic domains. And indeed, there are reasons to doubt this is possible. For example, responding to second-order reasons is meant (...) to be different from simply coming to believe or act for a more richly described first-order reason but it's not clear what this would look like. This paper introduces an account of the second-order basing relation which meets these concerns. It therefore both develops our picture of second-order reasons and helps to defend their existence. (shrink)

How can philosophy of science be of more practical use? One thing we can do is provide practicable advice about how to determine when one empirical claim is relevant to the truth of another; i.e., about evidential relevance. This matters especially for evidence-based policy, where advice is thin—and misleading—about how to tell what counts as evidence for policy effectiveness. This paper argues that good efficacy results (as in randomized controlled trials), which are all the rage now, are only a very (...) small part of the story. To tell what facts are relevant for judging policy effectiveness, we need to construct causal scenarios about will happen when the policy is implemented. (shrink)

Many, if not most, of our highly prized ‘laws’ of physics cannot be adequately rendered as statements of regular association among the values of ‘categorical’ quantities, I have argued.63 This is true even if we do not balk at the concept of natural necessity and are willing to add that the associations hold ‘by law’. They are rather ascriptions of capacities. They tell us what capacities a system will have by virtue of having a given property. The law of gravity (...) is one example. A system of mass M has the capacity of strength GMm/r2 to move another object of mass m a distance r away towards itself. I call this the gravitational capacity. My second thesis is a commonly shared one. Ascriptions of capacities do not reduce to conditionals involving only categorical properties. I shall here discuss two questions about these theses: 1) Why think of capacities as akin to dispositions or powers; and 2) Why allow them in science? Before tackling the first question, I shall first try to figure out what features we expect to be characteristic of dispositions and powers themselves. (shrink)

The claims of randomized controlled trials to be the gold standard rest on the fact that the ideal RCT is a deductive method: if the assumptions of the test are met, a positive result implies the appropriate causal conclusion. This is a feature that RCTs share with a variety of other methods, which thus have equal claim to being a gold standard. This article describes some of these other deductive methods and also some useful non-deductive methods, including the hypothetico-deductive method. (...) It argues that with all deductive methods, the benefit that the conclusions follow deductively in the ideal case comes with a great cost: narrowness of scope. This is an instance of the familiar trade-off between internal and external validity. RCTs have high internal validity but the formal methodology puts severe constraints on the assumptions a target population must meet to justify exporting a conclusion from the test population to the target. The article reviews one such set of assumptions to show the kind of knowledge required. The overall conclusion is that to draw causal inferences about a target population, which method is best depends case-by-case on what background knowledge we have or can come to obtain. There is no gold standard. (shrink)

This paper critically analyses the concept of evidence in evidence-based-policy arguing that there is key problem: that there is no existing practicable theory of evidence, one which is philosophically grounded and yet applicable for evidencebased policy. The paper critically considers both philosophical accounts of evidence and practical treatments of evidence in evidence-based-policy. It argues that both fail in different ways to provide a theory of evidence that is adequate for evidence-basedpolicy. The paper is a valuable contribution to the part of (...) the research project that explores how evidence can and should be used to reduce contingency in science, and policy based on science. (shrink)

According to a grand narrative that long ago ceased to be told, there was a seventeenth century Scientific Revolution, during which a few heroes conquered nature thanks to mathematics. This grand narrative began with the exhibition of quantitative laws that these heroes, Galileo and Newton for example, had disclosed: the law of falling bodies, according to which the speed of a falling body is proportional to the square of the time that has elapsed since the beginning of its fall; the (...) law of gravitation, according to which two bodies are attracted to one another in proportion to the sum of their masses and in inverse proportion to the square of the distance separating them -- according to his own preferences, each narrator added one or two quantitative laws of this kind. The essential feature was not so much the examples that were chosen, but, rather, the more or less explicit theses that accompanied them. First, mathematization would be taken as the criterion for distinguishing between a qualitative Aristotelian philosophy and the new quantitative physics. Secondly, mathematization was founded on the metaphysical conviction that the world was created pondere, numero et mensura, or that the ultimate components of natural things are triangles, circles, and other geometrical objects. This metaphysical conviction had two immediate consequences: that all the phenomena of nature can be in principle submitted to mathematics and that mathematical language is transparent; it is the language of nature itself and has simply to be picked up at the surface of phenomena. Finally, it goes without saying that, from a social point of view, the evolution of the sciences was apprehended through what has been aptly called the "relay runner model," according to which science progresses as a result of individual discoveries. Grand narratives such as this are perhaps simply fictions doomed to ruin as soon as they are clearly expressed. In any case, the very assumption on which this grand narrative relies can be brought into question: even in the canonical domain of mechanics, the relevant epistemological units crucial to understanding the dynamics of the Scientific Revolution are perhaps not a few laws of motion, but a complex set of problems embodied in mundane objects. Moreover, each of the theses just mentioned was actually challenged during the long period of historiographical reappraisal, out of which we have probably not yet stepped. Against the sharp distinction between a qualitative Aristotelian philosophy and the new quantitative physics, numerous studies insist that Rome wasn't built in a day, so to speak. Since Antiquity, there have always been mixed sciences; the emergence of pre-classical mechanics depends on both medieval treatises and the practical challenges met by Renaissance engineers. It is indeed true that, for Aristotle, mathematics merely captures the superficial properties of things, but the Aristotelianisms were many during the Renaissance and the Early Modern period, with some of them being compatible with the introduction of mathematics in natural philosophy. In addition, the gap between the alleged program of mathematizing nature and its effective realization was underlined as most natural phenomena actually escaped mathematization; at best they were enrolled in what Thomas Kuhn began to rehabilitate under the appellation of the "Baconian sciences," i.e., empirical investigations aiming at establishing isolated facts, without relating them to any overarching theory. Hence, mathematization of nature cannot pretend to capture a historical fact: at most, it expresses an indeterminate task for generations to come. On top of these first two considerations, and against the thesis of the neutrality of the mathematical language, it was urged that mathematics is not "only a language" and that, exactly as other symbolic means or cognitive tools, it has its own constraints. For example, it has been thoroughly explained that the Euclidean theory of proportions both guides and frustrates the Galilean analysis of motion; its shortages were particularly clear with respect to the expression of continuity, which is crucial in the case of motion. Consequently, when calculus was invented and applied to the analysis of motion, it was not a transposition that left things as they stood. Even more clearly than in the case of a translation from one natural language to another, the shift from one symbolic language to another entails that certain possibilities are opened while others are closed. The cognitive constraints imposed by established mathematical theories, as seen in the theory of proportions or calculus, were not the only ones to be studied in relation to mathematization. Certain schemes dependent on the grammar of natural languages, e.g., the scheme of contrariety, or certain symbolic means of representation, e.g. geometrical diagrams and numerical tables, were also subject to such scrutiny. Lastly, it was insisted that, even if we concede the existence of scientific geniuses, mathematics is largely produced by intellectual communities and embedded within social practices. More attention was consequently paid to the forms of communication in given mathematical networks, or to the teaching of the discipline in, for example, Jesuit colleges and universities. The set of mathematical practices specific to specialized craftsmen, highly-qualified experts and engineers began to be studied in its own right. All these reflections may have helped us change our perspectives on the question of mathematization. It seems, however, that they were instead set aside, both because of a general distrust towards sweeping narratives that are always subject to the suspicion that they overlook the unyielding complexity of real history, and because of a shift in our interests. The more obscure and idiosyncratic they are, an alchemist, a patron of the sciences or a lunatic collector is nowadays honored in journals of the history of sciences. As for the general issues involved in the question of mathematization, they are rejected as obsolete, or reserved for specialized journals in the history of mathematics. Consequently, before presenting the essays of this fascicle, I would like to say a few words in favor of a renewed study of the forms of mathematization in the history of the early sciences. (shrink)

Many views rely on the idea that it can never be rational to have high confidence in something like, “P, but my evidence doesn’t support P.” Call this idea the “Non-Akrasia Constraint”. Just as an akratic agent acts in a way she believes she ought not act, an epistemically akratic agent believes something that she believes is unsupported by her evidence. The Non-Akrasia Constraint says that ideally rational agents will never be epistemically akratic. In a number of recent papers, the (...) Non-Akrasia Constraint has been called into question. The goal of this paper is to defend it... for the most part. (shrink)

What determines qualitative sameness and difference? This book explores four principal accounts of the ontological basis of properties, including universals, trope theory, resemblance nominalism, and class nominalism, considering the assumptions and ontolological commitments which are required to make each into a plausible account of properties. -/- The latter half of the book investigates the applications of property theory and the different conceptions of properties which might be adopted with these in mind: first, the possibility and desirability of individuating properties, and (...) the distinction between sparse and abundant conceptions of properties; second, the distinction between intrinsic and extrinsic properties; third, the relationship between properties and their causal powers, and whether this is necessary or contingent; fourth, the relationship between properties and causation, modality, and laws of nature; finally, whether properties exist objectively, and if they do, what our epistemic position is with respect to such entities. (shrink)

In this sequence of philosophical essays about natural science, the author argues that fundamental explanatory laws, the deepest and most admired successes of modern physics, do not in fact describe regularities that exist in nature. Cartwright draws from many real-life examples to propound a novel distinction: that theoretical entities, and the complex and localized laws that describe them, can be interpreted realistically, but the simple unifying laws of basic theory cannot.

Knowledge of causal laws is expensive and hard to come by. But we work hard to get it because we believe that it will reduce contingency in planning policies and in building new technologies: knowledge of causal laws allows us to predict reliably what the outcomes will be when we manipulate the factors cited as causes in those laws. Or do they? This paper will argue that causal laws have no special role here. As economists from JS Mill to Robert (...) Lucas and David Hendry stress, along recently with philosophers like James Woodward and Sandra Mitchell, they can do the job only if they are invariant under the manipulations proposed. But then, I shall argue, anything that is invariant under the proposed manipulations will do this job equally well. There seems to be nothing special about causal-law knowledge in and of itself that makes it particularly valuable for policy and technology prediction. What seems to matter is invariance alone, not causality. But what guarantees invariance and how do we know when it will obtain? Here certain kinds of causal laws do have a special place – those underwritten either by what I have called ‘nomological machines’ or by what I have called ‘capacities’. Capacities and nomological machines have a double virtue that makes them invaluable for policy planning. First, the causal laws they give rise to will be invariant so long as they obtain; and second, they typically have visible markers we can come to recognize that tell us when they obtain. The markers for nomological machines are shakier than those for capacities, though, since capacities are often tied to markers by well-established empirical laws. Capacities have their own drawback however, which is the final topic of this paper: the causal laws that are guaranteed by a capacity connect the obtaining (or triggering) of a capacity with its exercise. But Hume argued (mistakenly I suggest) that no distinction can be made between the obtaining of a power and its exercise. (shrink)

Philosophical discussion on control has largely centred around control over our actions and beliefs. Yet this overlooks the question of whether we also have control over the reasons for which we act and believe. To date, the overriding assumption appears to be that we do not, and with seemingly good reason. We cannot choose to act for a reason and acting-for-a-reason is not itself something we do. While some have challenged this in the case of reasons for action, these claims (...) seem especially untenable regarding believing for a reason. And extending the scope of control in this way also faces the threat of regress. In the face of this orthodoxy, the present paper argues that we do in fact have control over both believing and acting for a particular reason. It also starts to develop an account of the way in which this would be possible. Given the broad importance of understanding control and agency, this paper bears on a number of topics in epistemology, the philosophy of mind, and ethics. (shrink)

We debate whether permissivism is true. We start off by assuming an accuracy-oriented framework, and then discuss metaepistemological questions about how our epistemic evaluations promote accuracy.

WE AIM HERE to outline a theory of evidence for use. More specifically we lay foundations for a guide for the use of evidence in predicting policy effectiveness in situ, a more comprehensive guide than current standard offerings, such as the Maryland rules in criminology, the weight of evidence scheme of the International Agency for Research on Cancer (IARC), or the US ‘What Works Clearinghouse’. The guide itself is meant to be well-grounded but at the same time to give practicable (...) advice, that is, advice that can be used by policy-makers not expert in the natural and social sciences, assuming they are well-intentioned and have a reasonable but limited amount of time and resources available for searching out evidence and deliberating. (shrink)

Believing rationally is epistemically valuable, or so we tend to think. It’s something we strive for in our own beliefs, and we criticize others for falling short of it. We theorize about rationality, in part, because we want to be rational. But why? I argue that how we answer this question depends on how permissive our theory of rationality is. Impermissive and extremely permissive views can give good answers; moderately permissive views cannot.

Keine ausführliche Beschreibung für "Die Überwindung des mathematischen Erkenntnisideals" verfügbar.

What are causal powers and why should we believe in them? Causal powers are now a central topic in metaphysics but my defence of them does not begin there, but rather in studies of the practices of the sciences, especially in my case, of physics and economics. Both of these use the analytic method: they ascertain the behaviour that would result from the operation of a cause ‘in isolation’; then take this behaviour to provide the ‘contribution’ that that cause makes (...) to the behaviour that occurs even when the cause is not in isolation. What counts as ‘isolation’? And how is the notion of ‘contribution’ to be understood? (shrink)

A multilingual thesaurus’ development needs the appropriate methodological considerations not only for linguistics, but also cultural heterogeneity, as demonstrated in this report on the multilingual project of the Art & Architecture Thesaurus (AAT) in the Chinese language, which has been a collaboration between the Academia Sinica Center for Digital Culture and the Getty Research Institute for more than a decade. After a brief overview of the project, the paper will introduce a holistic methodology for considering how to enable Western art (...) to be accessible to Chinese users and Chinese art accessible to Western users. The conceptual and structural issues will be discussed, especially the challenges of developing terminology in two different cultures. For instance, some terms shared by Western and Chinese cultures could be understood differently in each culture, which raises questions regarding their locations within the hierarchical structure of the AAT. Finally, the report will provide cases to demonstrate how the Chinese-Language AAT language supports online exhibitions, digital humanities and linking of digital art history content to the web of data. (shrink)

On appelle « Affaire Sokal » l’ensemble de controverses que suscitèrent la publication en 1996 d’une parodie écrite par un physicien américain, Alan Sokal, puis, en 1997, de l’ouvrage Impostures intellectuelles, qu’il co-signa avec un physicien belge, Jean Bricmont. Dans Retours sur l’Affaire Sokal¸ des historiens des sciences reviennent sur cette affaire. Ils montrent qu’elle recouvre différentes controverses et qu’il faut distinguer ces dernières non seulement selon la nature des écrits qui les ont occasionnées, mais aussi en fonction des questions (...) abordées, et peut-être surtout des manières de concevoir et pratiquer les échanges intellectuels. Les auteurs analysent en particulier ces controverses en France, aux États-Unis et au Royaume-Uni ; ils examinent aussi la façon dont ont été traités la relation entre le domaine scientifique et le domaine littéraire ou l’usage des métaphores en sciences. (shrink)

In science policy, it is generally acknowledged that science-based problem-solving requires interdisciplinary research. For example, policy makers invest in funding programs such as Horizon 2020 that aim to stimulate interdisciplinary research. Yet the epistemological processes that lead to effective interdisciplinary research are poorly understood. This article aims at an epistemology for interdisciplinary research, in particular, IDR for solving ‘real-world’ problems. Focus is on the question why researchers experience cognitive and epistemic difficulties in conducting IDR. Based on a study of educational (...) literature it is concluded that higher-education is missing clear ideas on the epistemology of IDR, and as a consequence, on how to teach it. It is conjectured that the lack of philosophical interest in the epistemology of IDR is due to a philosophical paradigm of science, which prevents recognizing severe epistemological challenges of IDR, both in the philosophy of science as well as in science education and research. The proposed alternative philosophical paradigm entails alternative philosophical presuppositions regarding aspects such as the aim of science, the character of knowledge, the epistemic and pragmatic criteria for accepting knowledge, and the role of technological instruments. This alternative philosophical paradigm assume the production of knowledge for epistemic functions as the aim of science, and interprets ‘knowledge’ as epistemic tools that must allow for conducting epistemic tasks by epistemic agents, rather than interpreting knowledge as representations that objectively represent aspects of the world independent of the way in which it was constructed. The engineering paradigm of science involves that knowledge is indelibly shaped by how it is constructed. Additionally, the way in which scientific disciplines construct knowledge is guided by the specificities of the discipline, which can be analyzed in terms of disciplinary perspectives. This implies that knowledge and the epistemic uses of knowledge cannot be understood without at least some understanding of how the knowledge is constructed. Accordingly, scientific researchers need so-called metacognitive scaffolds to assist in analyzing and reconstructing how ‘knowledge’ is constructed and how different disciplines do this differently. In an engineering paradigm of science, these metacognitive scaffolds can also be interpreted as epistemic tools, but in this case as tools that guide, enable and constrain analyzing and articulating how knowledge is produced. In interdisciplinary research, metacognitive scaffolds assist interdisciplinary communication aiming to analyze and articulate how the discipline constructs knowledge. (shrink)

Epistemologists often assume that rationality bears an important connection to the truth. In this paper I examine the implications of this commitment for permissivism: if rationality is a guide to the truth, can it also allow some leeway in how we should respond to our evidence? I first discuss a particular strategy for connecting permissive rationality and the truth, developed in a recent paper by Miriam Schoenfield. I argue that this limited truth-connection is unsatisfying, and the version of permissivism that (...) supports it faces serious challenges; so, for mainstream permissivism, the truth problem is still unsolved. I then discuss a strategy available to impermissivists, according to which rationality bears a quite strong connection to truth. I argue that this second strategy is successful. (shrink)

This article agrees with Philip Kitcher that we should aim for a well-ordered science, one that answers the right questions in the right ways. Crucial to this is to address questions of use: Which scientific account is right for which system in which circumstances? This is a difficult question: evidence that may support a scientific claim in one context may not support it in another. Drawing on examples in physics and other sciences, this article argues that work on the warrant (...) of theories in philosophy of science needs to change. Emphasis should move from the warrant of theories in the abstract to questions of evidence for use. (shrink)

On sait peu de choses d’Edme Mariotte, membre de l’Académie royale des sciences de 1668 à 1684. Une analyse de son Essai de logique montre cependant que, pour défendre ses pratiques expérimentales, il s’appropria des bribes venues de différentes traditions intellectuelles. Ainsi, ce livre examine ce qu’on entendait par « méthode » à la fin du XVIIe siècle, les épistémologies de la physique qui s’affrontaient alors, quelques débats ouverts par la gestion de l’héritage cartésien. Mais l’essentiel sera peut-être la question (...) suivante : comment reconstituer les idées d’un savant ordinaire, qui n’a ni bouleversé l’ordre des sciences, ni montré une perspicacité épistémologique exceptionnelle ? (shrink)

Sophie Grace Chappell develops a picture of what philosophical ethics can be like, once set aside from the idealising and reductive pressures of conventional moral theory. Her question is 'How are we to know what to do?', and the answer she defends is 'By developing our moral imaginations'.

The volume brings together for the first time original essays by leading philosophers working on powers in relation to metaphysics, philosophy of natural and social science, philosophy of mind and action, epistemology, ethics and social and political philosophy. In each area, the concern is to show how a commitment to real causal powers affects discussion at the level in question. In metaphysics, for example, realism about powers is now recognized as providing an alternative to orthodox accounts of causation, modality, properties (...) and laws. Dispositional realist philosophers of science, meanwhile, argue that a powers ontology allows for a proper account of the nature of scientific explanation. In the philosophy of mind there is the suggestion that agency is best understood in terms of the distinctive powers of human beings. Those who take virtue theoretic approaches in epistemology and ethics have long been interested in the powers that allow for knowledge and/or moral excellence. In social and political philosophy, finally, powers theorists are interested in the powers of sociological phenomena such as collectivities, institutions, roles and/or social relations, but also in the conditions of possibility for the cultivation of the powers of individuals. The book will be of interest to philosophers working in any of these areas, as well as to historians of philosophy, political theorists and critical realists. (shrink)

The volume brings together for the first time original essays by leading philosophers working on powers in relation to metaphysics, philosophy of natural and social science, philosophy of mind and action, epistemology, ethics and social and political philosophy. In each area, the concern is to show how a commitment to real causal powers affects discussion at the level in question. In metaphysics, for example, realism about powers is now recognized as providing an alternative to orthodox accounts of causation, modality, properties (...) and laws. Dispositional realist philosophers of science, meanwhile, argue that a powers ontology allows for a proper account of the nature of scientific explanation. In the philosophy of mind there is the suggestion that agency is best understood in terms of the distinctive powers of human beings. Those who take virtue theoretic approaches in epistemology and ethics have long been interested in the powers that allow for knowledge and/or moral excellence. In social and political philosophy, finally, powers theorists are interested in the powers of sociological phenomena such as collectivities, institutions, roles and/or social relations, but also in the conditions of possibility for the cultivation of the powers of individuals. The book will be of interest to philosophers working in any of these areas, as well as to historians of philosophy, political theorists and critical realists. (shrink)

Credences, unlike full beliefs, can’t be true or false. So what makes credences more or less accurate? This chapter offers a new answer to this question: credences are accurate insofar as they license true educated guesses, and less accurate insofar as they license false educated guesses. This account is compatible with immodesty; : a rational agent will regard her own credences to be best for the purposes of making true educated guesses. The guessing account can also be used to justify (...) certain coherence constraints on rational credence, such as probabilism. The chapter concludes by discussing some advantages of the guessing account over rival accounts of accuracy. (shrink)

In her recent paper ‘The Epistemology of Propaganda’ Rachel McKinnon discusses what she refers to as ‘TERF propaganda’. We take issue with three points in her paper. The first is her rejection of the claim that ‘TERF’ is a misogynistic slur. The second is the examples she presents as commitments of so-called ‘TERFs’, in order to establish that radical (and gender critical) feminists rely on a flawed ideology. The third is her claim that standpoint epistemology can be used to establish (...) that such feminists are wrong to worry about a threat of male violence in relation to trans women. In Section 1 we argue that ‘TERF’ is not a merely descriptive term; that to the extent that McKinnon offers considerations in support of the claim that ‘TERF’ is not a slur, these considerations fail; and that ‘TERF’ is a slur according to several prominent accounts in the contemporary literature. In Section 2, we argue that McKinnon misrepresents the position of gender critical feminists, and in doing so fails to establish the claim that the ideology behind these positions is flawed. In Section 3 we argue that McKinnon’s criticism of Stanley fails, and one implication of this is that those she characterizes as ‘positively privileged’ cannot rely on the standpoint-relative knowledge of those she characterizes as ‘negatively privileged’. We also emphasize in this section McKinnon’s failure to understand and account for multiple axes of oppression, of which the cis/trans axis is only one. (shrink)