This is an important book precisely because there is none other quite like it.

The proposal of anything like a feminist epistemology has, I think, two sources. Feminist scholars have demonstrated how the scientific cards have been stacked against women for centuries. Given that the sciences are taken as the epitome of knowledge and rationality in modern Western societies, the game looks desperate unless some ways of knowing different from those that have validated misogyny and gynephobia can be found. Can we know the world without hating ourselves? This is one of the questions at (...) the core of discussions of feminist epistemology. It has spinoffs, e.g., can we know the world in ways that will permit women as well as men to thrive? Can we know the world without hating any human group? and so on. Now, these questions might be answered in a way that does not require any rethinking of fundamental philosophical issues. Some philosophers might argue that sexism in the sciences from Aristotle to human sociobiology results from a masculinist blinding that impedes the normal workings of the human cognitive apparatus. Unblinded, that apparatus produces real knowledge rather than ideology. Or: that was then, this is now. This somewhat overestimates the progress made in the sciences in the last 20 years, but can be read as a promissory note. (shrink)

In assessing the appropriateness of a scientific community's research effort, Solomon considers a number of "decision vectors," divided into the empirical and non-empirical. Value judgments get sorted as non-empirical vectors. By way of contrast, I introduce Anderson's discussion of the evidential role of value judgments. Like Anderson, I argue that value judgments are empirical in the relevant sense. I argue further that Solomon's decision matrix needs to be reconceptualized: the distinction should not be between the empirical vs. non-empirical, but between (...) the relevant vs. irrelevant. Whether particular value judgments are relevant or not is an empirical question, to be decided on a case-by-case basis. (shrink)

Where the old objectivity question asked, Objectivity or relativism: which side are you on?, the new one refuses this choice, seeking instead to bypass widely recognized problems with the conceptual framework that restricts the choices to these two. It asks, How can the notion of objectivity be updated and made useful for contemporary knowledge-seeking projects? One response to this question is the strong objectivity program that draws on feminist standpoint epistemology to provide a kind of logic of discovery for maximizing (...) our ability to block might makes right in the sciences. It does so by delinking the neutrality ideal from standards for maximizing objectivity, since neutrality is now widely recognized as not only not necessary, not only not helpful, but, worst of all, an obstacle to maximizing objectivity when knowledge-distorting interests and values have constituted a research project. Strong objectivity provides a method for correcting this kind of situation. However, standpoint approaches have their own limitations which are quite different from the misreadings of them upon which most critics have tended to focus. Unfortunately, historically limited epistemologies and philosophies of science are all we get to choose from at this moment in history. (shrink)

I discuss two types of evidential problems with the most widely touted experiments in evolutionary psychology, those performed by Leda Cosmides and interpreted by Cosmides and John Tooby. First, and despite Cosmides and Tooby's claims to the contrary, these experiments don't fulfil the standards of evidence of evolutionary biology. Second Cosmides and Tooby claim to have performed a crucial experiment, and to have eliminated rival approaches. Though they claim that their results are consistent with their theory but contradictory to the (...) leading non-evolutionary alternative, Pragmatic Reasoning Schemas theory, I argue that this claim is unsupported. In addition, some of Cosmides and Tooby's interpretations arise from misguided and simplistic understandings of evolutionary biology. While I endorse the incorporation of evolutionary approaches into psychology, I reject the claims of Cosmides and Tooby that a modular approach is the only one supported by evolutionary biology. Lewontin's critical examinations of the applications of adaptationist thinking provide a background of evidentiary standards against which to view the currently fashionable claims of evolutionary psychology. (shrink)

In Science as Social Knowledge, Helen Longino offers a contextual analysis of evidential relevance. She claims that this "contextual empiricism" reconciles the objectivity of science with the claim that science is socially constructed. I argue that while her account does offer key insights into the role that values play in science, her claim that science is nonetheless objective is problematic.

InScience as Social Knowledge, Helen Longino offers a contextual analysis of evidential relevance. She claims that this “contextual empiricism” reconciles the objectivity of science with the claim that science is socially constructed. I argue that while her account does offer key insights into the role that values play in science, her claim that science is nonetheless objective is problematic.

This paper explores a number of recent proposals regarding "feminist science" and rejects a content-based approach in favor of a process-based approach to characterizing feminist science. Philosophy of science can yield models of scientific reasoning that illuminate the interaction between cultural values and ideology and scientific inquiry. While we can use these models to expose masculine and other forms of bias, we can also use them to defend the introduction of assumptions grounded in feminist political values.

No discussion of academic freedom, research integrity, and patient safety could begin with a more disquieting pair of case studies than those of Nancy Olivieri and David Healy. The cumulative impact of the Olivieri and Healy affairs has caused serious self examination within the biomedical research community. The first part of the essay analyses these recent academic scandals. The two case studies are then placed in their historical context—that context being the transformation of the norms of science through increasingly close (...) ties between research universities and the corporate world. After a literature survey of the ways in which corporate sponsorship has biased the results of clinical drug trials, two different strategies to mitigate this problem are identified and assessed: a regulatory approach, which focuses on managing risks associated with industry funding of university research, and a more radical approach, the sequestration thesis, which counsels the outright elimination of corporate sponsorship. The reformist approach is criticised and the radical approach defended. (shrink)

Helen Longino seeks to break the current deadlock in the ongoing wars between philosophers of science and sociologists of science--academic battles founded on disagreement about the role of social forces in constructing scientific knowledge. While many philosophers of science downplay social forces, claiming that scientific knowledge is best considered as a product of cognitive processes, sociologists tend to argue that numerous noncognitive factors influence what scientists learn, how they package it, and how readily it is accepted. Underlying this disagreement, however, (...) is a common assumption that social forces are a source of bias and irrationality. Longino challenges this assumption, arguing that social interaction actually assists us in securing firm, rationally based knowledge. This important insight allows her to develop a durable and novel account of scientific knowledge that integrates the social and cognitive. Longino begins with a detailed discussion of a wide range of contemporary thinkers who write on scientific knowledge, clarifying the philosophical points at issue. She then critically analyzes the dichotomous understanding of the rational and the social that characterizes both sides of the science studies stalemate and the social account that she sees as necessary for an epistemology of science that includes the full spectrum of cognitive processes. Throughout, her account is responsive both to the normative uses of the term knowledge and to the social conditions in which scientific knowledge is produced. Building on ideas first advanced in her influential book Science as Social Knowledge, Longino brings her account into dialogue with current work in social epistemology and science studies and shows how her critical social approach can help solve a variety of stubborn problems. While the book focuses on epistemological concerns related to the sociality of inquiry, Longino also takes up its implications for scientific pluralism. The social approach, she concludes, best allows us to retain a meaningful concept of knowledge in the face of theoretical plurality and uncertainty. (shrink)

Sandra Harding is working on the reconstruction of scientific objectivity. Lorraine Daston argues that objectivity is a concept that has historically evolved. Her account of the development of "aperspectival objectivity" provides an opportunity to see Harding's "strong objectivity" project as a stage in this evolution, to locate it in the history of migration of ideals from moral philosophy to natural science, and to support Harding's desire to retain something of the ontological significance of objectivity.

Proponents of evidence-based medicine have recently suggested a “4S” approach to clinical decision making in which physicians are advised to rely on increasingly abstract summaries of the available research evidence. This retreat from the original data of medical research is ill-advised: it extends an unjustified evidence hierarchy, overestimates the role of computer systems, divides communities, discards evidence, ignores contexts, and devalues broad critical evaluation. I draw upon feminist social epistemology to evaluate the 4S approach to EBM and to suggest means (...) for improving the evidence base of medical research and practice. (shrink)

While evidence-based medicine (EBM) is often accused on relying on a paradigm of 'absolute truth', it is in fact highly consistent with Karl Popper's criterion of demarcation through falsification. Even more relevant, the first three steps of the EBM process are closely patterned on Popper's evolutionary approach of objective knowledge: (1) recognition of a problem; (2) generation of solutions; and (3) selection of the best solution. This places the step 1 of the EBM process (building an answerable question) in a (...) pivotal position for the understanding of the whole process, and underscores a few aspects which are often overlooked in EBM courses. First in this step internal evidence (including personal expertise) must be appraised and integrated in the problem. Second, issues of applicability of the possible solution should be anticipated. Third, and possibly more important, the goal of the intervention should be set at this stage (typically by choosing the outcome in a PICO question). Depending whether or not goals depend on the goals of others, and whether they concern others' voluntary behaviour, goals may be classified as self-serving, moral, altruistic or moralistic. Thus, delicate ethical questions must be addressed at this stage, which means that patient preferences and values must be carefully sought, so that empathy, counselling and narrative medicine must be mastered to be able to formulate correctly an answerable question. The need to modify the current description of the EBM process to increase the recognition of implicit assumptions and increase the consistency of this model is discussed. (shrink)

I outline a pragmatic account of evidence, arguing that it allows us to underwrite two implications of feminist scholarship: that knowledge is socially constructed and constrained by evidence, and that social relations, including gender, race, and class, are epistemologically significant. What makes the account promising is that it abandons any pretense of a view from nowhere, the view of evidence as something only individuals gather or have, and the view that individual theories face experience in isolation.

This paper examines some common measures of complexity, structure, and information, with an eye toward understanding the extent to which complexity or information‐content may be regarded as objective properties of individual objects. A form of contextual objectivity is proposed which renders the measures objective, and which largely resolves the puzzle of Maxwell's Demon.

I argue that Nelson's feminist transformation of empiricism provides the basis of a dialogue across three currently competing feminist epistemologies: feminist empiricism, feminist standpoint theories, and postmodern feminism, a dialogue that will result in a dissolution of the apparent tensions between these epistemologies and provide an epistemology with the openness and fluidity needed to embrace the concerns of feminists.

More than 40 primary studies, and three recent systematic reviews and meta-analyses, have shown a clear association between pharmaceutical industry funding of clinical trials and pro-industry results. Industry sponsorship biases published scientific research in favour of the sponsors, a result of the strong interest commercial sponsors have in obtaining favourable results.Three proposed remedies to this problem are widely agreed upon among those concerned with the level of sponsorship bias: financial disclosure, reporting standards and trial registries. This paper argues that all (...) of these remedies either fail to address the mechanisms by which pharmaceutical companies’ sponsorship leads to biased results—design bias, multiple trials with predictable outcomes, fraud, rhetorical effects and publication bias—or else only inadequately address those mechanisms. As a result, the policies normally proposed for dealing with sponsorship bias are unable to eliminate it. Only completely separating public clinical research from pharmaceutical industry funding can eliminate sponsorship bias. (shrink)