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Egan, Frances. Folk psychology and cognitive architecture
1995, Philosophy of Science 62(2): 179-96.

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Added by: Nick Novelli

Abstract: It has recently been argued that the success of the connectionist program in cognitive science would threaten folk psychology. I articulate and defend a "minimalist" construal of folk psychology that comports well with empirical evidence on the folk understanding of belief and is compatible with even the most radical developments in cognitive science.

Comment: A good defense of folk psychology. Would be a good inclusion in a course on philosophy of mind/philosophy of cognitive science to show that scepticism need not be taken to extremes.

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Bechtel, William P., Jennifer Mundale. Multiple realizability revisited: Linking cognitive and neural states
1999, Philosophy of Science 66 (2): 175-207.

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Added by: Nick Novelli

Abstract: The claim of the multiple realizability of mental states by brain states has been a major feature of the dominant philosophy of mind of the late 20th century. The claim is usually motivated by evidence that mental states are multiply realized, both within humans and between humans and other species. We challenge this contention by focusing on how neuroscientists differentiate brain areas. The fact that they rely centrally on psychological measures in mapping the brain and do so in a comparative fashion undercuts the likelihood that, at least within organic life forms, we are likely to find cases of multiply realized psychological functions.

Comment: One of the better arguments against multiple realizability. Could be used in any philosophy of mind course where that claim arises as a demonstration of how it could be challenged. A good deal of discussion about neuroscientific practices and methods, but not excessively technical.

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Longino, Helen. Science as Social Knowledge: Values and Objectivity in Scientific Inquiry
1990, Princeton University Press.

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Added by: Nick Novelli

Publisher's Note: Conventional wisdom has it that the sciences, properly pursued, constitute a pure, value-free method of obtaining knowledge about the natural world. In light of the social and normative dimensions of many scientific debates, Helen Longino finds that general accounts of scientific methodology cannot support this common belief. Focusing on the notion of evidence, the author argues that a methodology powerful enough to account for theories of any scope and depth is incapable of ruling out the influence of social and cultural values in the very structuring of knowledge. The objectivity of scientific inquiry can nevertheless be maintained, she proposes, by understanding scientific inquiry as a social rather than an individual process. Seeking to open a dialogue between methodologists and social critics of the sciences, Longino develops this concept of "contextual empiricism" in an analysis of research programs that have drawn criticism from feminists. Examining theories of human evolution and of prenatal hormonal determination of "gender-role" behavior, of sex differences in cognition, and of sexual orientation, the author shows how assumptions laden with social values affect the description, presentation, and interpretation of data. In particular, Longino argues that research on the hormonal basis of "sex-differentiated behavior" involves assumptions not only about gender relations but also about human action and agency. She concludes with a discussion of the relation between science, values, and ideology, based on the work of Habermas, Foucault, Keller, and Haraway.

Comment: Longino offers a way to accomodate critiques of science as being socially constructed with the claim that science is objective. This contextual empiricism is an interesting solution, and would provide a useful point of discussion in an exploration of these issues in a course that discusses scientific objectivity.

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Okruhlik, Kathleen. Gender and the Biological Sciences
1994, Canadian Journal of Philosophy 24(sup1): 21-42.

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Added by: Nick Novelli

Summary: Okhrulik offers a feminist critique of biology, a "real" science, to show that it is not just the "soft" social sciences that are affected by bias. She argues that preconceptions can interfere not only in cases of "bad science", but even when the rules of scientific practice are followed. There is no safeguard against the effects of bias in the context of discovery. Even if theories are rigorously tested to remove bias, some theories might not even be generated and so would not get to the point of being counted as competitors in the testing stage. This is illustrated by a number of case studies. Okhrulik concludes that a diversity of viewpoints is crucial.

Comment: Presents a good case for why feminist critiques are relevant even to "harder" sciences, made more salient with easy-to-understand examples. Raises issues of theory-ladenness of observation and underdetermination of theory. A good introduction to reasons to doubt that science is completely "objective".

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Parke, Emily. Experiments, Simulations, and Epistemic Privilege
2014, Philosophy of Science 81(4): 516-536.

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Added by: Nick Novelli

Abstract: Experiments are commonly thought to have epistemic privilege over simulations. Two ideas underpin this belief: first, experiments generate greater inferential power than simulations, and second, simulations cannot surprise us the way experiments can. In this article I argue that neither of these claims is true of experiments versus simulations in general. We should give up the common practice of resting in-principle judgments about the epistemic value of cases of scientific inquiry on whether we classify those cases as experiments or simulations, per se. To the extent that either methodology puts researchers in a privileged epistemic position, this is context sensitive.

Comment: Valuable in raising questions about preconceptions of "science experiments". This article would be useful as part of a look at scientific methodology and the real value obtained from our scientific practices.

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Cartwright, Nancy. The Truth Doesn’t Explain Much
1980, American Philosophical Quarterly 17(2): 159 - 163.

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Added by: Nick Novelli

Summary: It has sometimes been argued that the covering law model in philosophy of science is too permissive about what gets to count as an explanation. This paper, by contrast, argues that it lets in too little, since there are far too few covering laws to account for all of our explanations. In fact, we rely on ceteris paribus laws that are literally false. Though these are not a true description of nature, they do a good job of allowing us to explain phenomena, so we should be careful to keep those two functions of science separate.

Comment: This relatively brief article offers a good illustration of how, contrary to some preconceptions, science does not always aim at absolute or universal truths, and instead allows pragmatic considerations to play a large role. Useful as part of an examination of what scientific laws really are and what their role is.

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