Diversity Reading List

Introduction: 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.

Publisher's Note: Both science and philosophy are interested in questions of ontology- questions about what exists and what these things are like. Science and philosophy, however, seem like very different ways of investigating the world, so how should one proceed? Some defer to the sciences, conceived as something apart from philosophy, and others to metaphysics, conceived as something apart from science, for certain kinds of answers. This book contends that these sorts of deference are misconceived. A compelling account of ontology must appreciate the ways in which the sciences incorporate metaphysical assumptions and arguments. At the same time, it must pay careful attention to how observation, experience, and the empirical dimensions of science are related to what may be viewed as defensible philosophical theorizing about ontology. The promise of an effectively naturalized metaphysics is to encourage beliefs that are formed in ways that do justice to scientific theorizing, modeling, and experimentation. But even armed with such a view, there is no one, uniquely rational way to draw lines between domains of ontology that are suitable for belief, and ones in which it would be better to suspend belief instead. In crucial respects, ontology is in the eye of the beholder: it is Informed by underlying commitments with implications for the limits of inquiry, which inevitably vary across rational inquirers. As a result, the proper scope of ontology is subject to a striking form of voluntary choice, yielding a new and transformative conception of scientific ontology.

Back Matter: In Inventing Temperature, Chang takes a historical and philosophical approach to examine how scientists were able to use scientific method to test the reliability of thermometers; how they measured temperature beyond the reach of thermometers; and how they came to measure the reliability and accuracy of these instruments without a circular reliance on the instruments themselves. Chang discusses simple epistemic and technical questions about these instruments, which in turn lead to more complex issues about the solutions that were developed.

Abstract: Why do some epistemic objects persist despite undergoing serious changes, while others go extinct in similar situations? Scientists have often been careless in deciding which epistemic objects to retain and which ones to eliminate; historians and philosophers of science have been on the whole much too unreflective in accepting the scientists' decisions in this regard. Through a re-examination of the history of oxygen and phlogiston, I will illustrate the benefits to be gained from challenging and disturbing the commonly accepted continuities and discontinuities in the lives of epistemic objects. I will also outline two key consequences of such re-thinking. First, a fresh view on the (dis)continuities in key epistemic objects is apt to lead to informative revisions in recognized periods and trends in the history of science. Second, recognizing sources of continuity leads to a sympathetic view on extinct objects, which in turn problematizes the common monistic tendency in science and philosophy; this epistemological reorientation allows room for more pluralism in scientific practice itself.

Abstract: I propose a reformulation of realism, as the pursuit of ontological plausibility in our systems of knowledge. This is dubbed plausibility realism, for convenience of reference. Plausibility realism is non-empiricist, in the sense that it uses ontological plausibility as an independent criterion from empirical adequacy in evaluating systems of knowledge. Ontological plausibility is conceived as a precondition for intelligibility, nor for Truth; therefore, the function of plausibilty realism is to facilitate the kind of understanding that is not reducible to mere description or prediction. Difficulties in making objective judgements of ontological plausibility can be ameliorated if we adhere to the most basic ontological principles. The workings of plausibility realism are illustrated through a detailed discussion of how one ontological principle, which I call the principle of single value, can be employed with great effect. Throughout the paper the discussion draws on concrete examples from the history of science.

Abstract: In this article, I analyze Quine's conception of science, which is a radical defence of extensionalism on the grounds that first?order logic is the most adequate logic for science. I examine some criticisms addressed to it, which show the role of modalities and probabilities in science and argue that Quine's treatment of probability minimizes the intensional character of scientific language and methods by considering that probability is extensionalizable. But this extensionalizing leads to untenable results in some cases and is not consistent with the fact that Quine himself admits confirmation which includes probability. Quine's extensionalism does not account for this fact and then seems unrealistic, even if science ought to be extensional in so far as it is descriptive and mathematically expressible.

Summary: The use of models to scientifically represent and study reality is widely recognized with good reasons as indispensable for the practice of science. Because models, unlikely pure verbal representation, are justifiably regarded as vehicles of representation that are not truth-apt, philosophical questions are natural raised concerning the nature of such vehicles and how they represent. A sizeable literature generated in recent years explores the possibility that ''scientific models are works of fiction''. Idealization and other similar strategies are often taken to be the means by which models are made. Arguing against this last claim, the thesis of this article is that most models in science are not fictional. The author argues against the idea that idealization is the means by which models of typically unobservable systems or mechanisms are made.

Introduction: There are a variety of ways that feminists have reflected upon and engaged with science critically and constructively each of which might be thought of as perspectives on science. Feminists have detailed the historically gendered participation in the practice of science—the marginalization or exclusion of women from the profession and how their contributions have disappeared when they have participated. Feminists have also noted how the sciences have been slow to study women’s lives, bodies, and experiences. Thus from both the perspectives of the agents—the creators of scientific knowledge—and from the perspectives of the subjects of knowledge—the topics and interests focused on—the sciences often have not served women satisfactorily. We can think of these perspectives as generating two types of equity issues: limitations on the freedom to participate as reflected in the historical underrepresentation of women in the scientific professions and the relative lack of attention to research questions relevant to women’s lives.

Publisher’s Note:

The Routledge Handbook of Feminist Philosophy of Science is a comprehensive resource for feminist thinking about and in the sciences. Its 33 chapters were written exclusively for this Handbook by a group of leading international philosophers as well as scholars in gender studies, women’s studies, psychology, economics, and political science.

The chapters of the Handbook are organized into four main parts:

1. Hidden Figures and Historical Critique
2. Theoretical Frameworks
3. Key Concepts and Issues
4. Feminist Philosophy of Science in Practice.

The chapters in this extensive, fourth part examine the relevance of feminist philosophical thought for a range of scientific and professional disciplines, including biology and biomedical sciences; psychology, cognitive science, and neuroscience; the social sciences; physics; and public policy.

The Handbook gives a snapshot of the current state of feminist philosophy of science, allowing students and other newcomers to get up to speed quickly in the subfield and providing a handy reference for many different kinds of researchers.

Publisher's Note: In Unsimple Truths, Sandra Mitchell argues that the long-standing scientific and philosophical deference to reductive explanations founded on simple universal laws, linear causal models, and predict-and-act strategies fails to accommodate the kinds of knowledge that many contemporary sciences are providing about the world. She advocates, instead, for a new understanding that represents the rich, variegated, interdependent fabric of many levels and kinds of explanation that are integrated with one another to ground effective prediction and action. Mitchell draws from diverse fields including psychiatry, social insect biology, and studies of climate change to defend "integrative pluralism" - a theory of scientific practices that makes sense of how many natural and social sciences represent the multi-level, multi-component, dynamic structures they study. She explains how we must, in light of the now-acknowledged complexity and contingency of biological and social systems, revise how we conceptualize the world, how we investigate the world, and how we act in the world.