Diversity Reading List

Abstract: I argue that collaborators do not need to reach broad agreement over the justification of a consensus claim. This is because maintaining a diversity of justifiers within a scientific collaboration has important epistemic value. I develop a view of collective justification that depends on the diversity of epistemic perspectives present in a group. I argue that a group can be collectively justified in asserting that P as long as the disagreement among collaborators over the reasons for P is itself justified. In conclusion, I make a case for multimethod collaborative research and work through an example in the social sciences.

Abstract: Revealed preference approaches to modelling agents’ choices face two seemingly devastating explanatory objections. The no self-explanation objection imputes a problematic explanatory circularity to revealed preference approaches, while the causal explanation objection argues that, all things equal, a scientific theory should provide causal explanations, but revealed preference approaches decidedly do not. Both objections assume a view of explanation, the constraint-based view, that the revealed preference theorist ought to reject. Instead, the revealed preference theorist should adopt a unificationist account of explanation, allowing her to escape the two explanatory problems discussed in this paper.

Abstract:

Richard Rudner famously argues that the communication of scientific advice to policy makers involves ethical value judgments. His argument has, however, been rightly criticized. This article revives Rudner’s conclusion, by strengthening both his lines of argument: we generalize his initial assumption regarding the form in which scientists must communicate their results and complete his ‘backup’ argument by appealing to the difference between private and public decisions. Our conclusion that science advisors must, for deep-seated pragmatic reasons, make value judgments is further bolstered by reflections on how the scientific contribution to policy is far less straightforward than the Rudner-style model suggests.

Abstract: There is a long tradition in development economics of collecting original data to test specific hypotheses. Over the last 10 years, this tradition has merged with an expertise in setting up randomized field experiments, resulting in an increasingly large number of studies where an original experiment has been set up to test economic theories and hypotheses. This paper extracts some substantive and methodological lessons from such studies in three domains: incentives, social learning, and time-inconsistent preferences. The paper argues that we need both to continue testing existing theories and to start thinking of how the theories may be adapted to make sense of the field experiment results, many of which are starting to challenge them. This new framework could then guide a new round of experiments.

Abstract: The chapter addresses the philosophical issues raised by the use of hypothetical modeling in the social sciences. Hypothetical modeling involves the construction and analysis of simple hypothetical systems to represent complex social phenomena for the purpose of understanding those social phenomena. To highlight its main features hypothetical modeling is compared both to laboratory experimentation and to computer simulation. In analogy with laboratory experiments, hypothetical models can be conceived of as scientific representations that attempt to isolate, theoretically, the working of causal mechanisms or capacities from disturbing factors. However, unlike experiments, hypothetical models need to deal with the epistemic uncertainty due to the inevitable presence of unrealistic assumptions introduced for purposes of analytical tractability. Computer simulations have been claimed to be able to overcome some of the strictures of analytical tractability. Still they differ from hypothetical models in how they derive conclusions and in the kind of understanding they provide. The inevitable presence of unrealistic assumptions makes the legitimacy of the use of hypothetical modeling to learn about the world a particularly pressing problem in the social sciences. A review of the contemporary philosophical debate shows that there is still little agreement on what social scientific models are and what they are for. This suggests that there might not be a single answer to the question of what is the epistemic value of hypothetical models in the social sciences.

Publisher's Note: Sandra Harding here develops further the themes first addressed in her widely influential book, The Science Question in Feminism, and conducts a compelling analysis of feminist theories on the philosophical problem of how we know what we know. Following a strong narrative line, Harding sets out her arguments in highly readable prose. In Part 1, she discusses issues that will interest anyone concerned with the social bases of scientific knowledge. In Part 2, she modifies some of her views and then pursues the many issues raised by the feminist position which holds that women's social experience provides a unique vantage point for discovering masculine bias and and questioning conventional claims about nature and social life. In Part 3, Harding looks at the insights that people of color, male feminists, lesbians, and others can bring to these controversies, and concludes by outlining a feminist approach to science in which these insights are central. "Women and men cannot understand or explain the world we live in or the real choices we have," she writes, "as long as the sciences describe and explain the world primarily from the perspectives of the lives of the dominant groups." Harding's is a richly informed, radical voice that boldly confronts issues of crucial importance to the future of many academic disciplines. Her book will amply reward readers looking to achieve a more fruitful understanding of the relations between feminism, science, and social life.

Publisher's Note: Can science, steeped in Western, masculine, bourgeois endeavors, nevertheless be used for emancipatory ends? In this major contribution to the debate over the role gender plays in the scientific enterprise, Sandra Harding pursues that question, challenging the intellectual and social foundations of scientific thought. Harding provides the first comprehensive and critical survey of the feminist science critiques, and examines inquiries into the androcentricism that has endured since the birth of modern science. Harding critiques three epistemological approaches: feminist empiricism, which identifies only bad science as the problem; the feminist standpoint, which holds that women's social experience provides a unique starting point for discovering masculine bias in science; and feminist postmodernism, which disputes the most basic scientific assumptions. She points out the tensions among these stances and the inadequate concepts that inform their analyses, yet maintains that the critical discourse they foster is vital to the quest for a science informed by emancipatory morals and politics.

Abstract: Since the transition to democracy in the early 1990s, economic research and instruction in South Africa have become far more quantitative and technically sophisticated. In this paper, I trace and discuss reasons for these developments, and I argue that this quantification of economics should not be at the expense of exchanges with qualitative data that fail the criterion of being representative, or with other disciplines that are less quantitative. With South Africa’s complex history, persistent inequality and considerable cultural diversity, economics has much to gain from interdisciplinary collaboration and mixed methods research.

Abstract: Humanists argue for assigning the highest moral status to all humans over any non-humans directly or indirectly on the basis of uniquely superior human cognitive abilities. They may also claim that humanism is the strongest position from which to combat racism, sexism, and other forms of within-species discrimination. I argue that changing conceptual foundations in comparative research and discoveries of advanced cognition in many non-human species reveal humanism’s psychological speciesism and its similarity with common justifications of within-species discrimination.

Abstract: Although the practices of animal experimentation and intensive rearing involve a considerable amount of animal suffering they continue to be supported. Why is the suffering of animals in these practices so often accepted? This paper will explore some of the reasons given in support of the use of animals for such practices. In particular I will focus on contractarianism as one of the many positions that argues that morally relevant differences between species justify animal experimentation and factory farming. These differences include rationality and moral agency. On this position non-humans are excluded from direct moral concern on the basis that they lack such qualities. I will argue that in order for contractarianism to be coherent it necessarily has to include non-humans in the contract. This has implications for the application of contractarianism to the ethics of factory farming and animal experimentation.