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Lynch, Kate E.. Heritability and causal reasoning
2017, Biology & Philosophy 32: 25–49.

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Added by: Björn Freter, Contributed by: Hannah Rubin

Abstract: Gene–environment (G–E) covariance is the phenomenon whereby genetic differences bias variation in developmental environment, and is particularly problematic for assigning genetic and environmental causation in a heritability analysis. The interpretation of these cases has differed amongst biologists and philosophers, leading some to reject the utility of heritability estimates altogether. This paper examines the factors that influence causal reasoning when G–E covariance is present, leading to interpretive disagreement between scholars. It argues that the causal intuitions elicited are influenced by concepts of agency and blame-worthiness, and are intimately tied with the conceptual understanding of the phenotype under investigation. By considering a phenotype-specific approach, I provide an account as to why causal ascriptions can differ depending on the interpreter. Phenotypes like intelligence, which have been the primary focus of this debate, are more likely to spark disagreement for the interpretation of G–E covariance cases because the concept and ideas about its ‘normal development’ relatively ill-defined and are a subject of debate. I contend that philosophical disagreement about causal attributions in G–E covariance cases are in essence disagreements regarding how a phenotype should be defined and understood. This moves the debate from one of an ontological flavour concerning objective causal claims, to one concerning the conceptual, normative and semantic dependencies.

Comment: This paper discusses difficulties for determining whether traits like intelligence are heritable, drawing on philosophical work regarding causal intuitions. It's accessible enough to use in a lower-level undergraduate course, but also generates good discussion in a graduate level course. It could be used to further a discussion about the nature of genes or in a discussion of philosophy of race/gender from a biological perspective.

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Attfield, Robin, Robin Attfield, Attfield, Kate. The Concept of ‘Gaia’
2016, eLS. electronic Encyclopedia of the Life Sciences

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Added by: Björn Freter, Contributed by: Robin Attfield

Abstract: The Gaia theory of James Lovelock proposes that the Earth is a self-regulating system, or super-organism, maintaining conditions hospitable to contemporary planetary biota. Objections to this theory, concerning its alleged untestability and circularity, are considered and countered. Favourable evidence includes Lovelock’s daisyworld model of a planet regulating its own temperatures and thus maintaining homeostasis, and his discoveries of actual regulatory mechanisms such as the biological generation of dimethyl sulphide, which removes sulphur from the oceans and seeds clouds whose albedo reduces solar radiation (a negative feedback mechanism). After some decades of scepticism, sections of the scientific community have partially endorsed Gaia theory, accepting that the Earth system behaves as if self-regulating. Whether or not this theory is acceptable in full, it has drawn attention to the need for preserving planetary biological cycles and for the planetary dimension to be incorporated in ethical decision-making, and thus for a planetary ethic.

Comment: This interdisciplinary survey of the Gaia hypothesis, its critics and its supporters, could be used in Philosophy of Science or Philosophy of Biology classes to clarify the concept of Gaia, which is often presented too vaguely by those who have not considered issues such as whether this hypothesis is falsifiable or not; it could also be used in Ethics classes because of its section on Gaian ethics. We show how Lovelock has devised indirect ways of testing this hypothesis (or better, the Gaia theory), how a critic (Kirchner) has presented it as either falsifiable but unsurprising or unfalsifiable and thus useless, and how a supporter, Tim Lenton has sought to explain how it can be reconciled with Darwinian evolution. Finally we show how elements of the theory have been endorsed by a scientific conference, but other aspects, such as the purposiveness of Gaia, were not endorsed.

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Mitchell, Sandra. Complexity and explanation in the social sciences
2009, Mitchell, Sandra. "Complexity and explanation in the social sciences." Chrysostomos Mantzavinos (Hg.), Philosophy of the Social Sciences. Philosophical Theory and Scientific Practice, Cambridge (2009): 130-145.

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Added by: Simon Fokt, Contributed by: Patricia Rich

Abstract: To answer Condorcet, in this chapter I will investigate what it is about the social world that makes the universal, exceptionless generalizations that are heralded as the foundation of knowledge of the physical world so elusive. I am not going to rehearse all the arguments for and against the possibility of laws in the social realm. What I aim to do is not to take either side of the debate, that is, not to say - "YES! Social science does have laws just like physics (or close enough any-way)" or "NO! Social science can never have laws like those of physics; knowledge of the social has a wholly different character." Rather I will suggest replacing the standard conception of laws that structure the debate with a more spacious conceptual framework that not only illuminates what it is about knowledge of the social that is similar to knowledge of the physical, but also explains what is so different in the two scientific endeavors.

Comment: When studying the philosophy of the social sciences, the nature of explanation and the role of laws in explanation are important issues. This text provides a valuable argument on this topic, provides an example of how philosophy of biology is relevant to the social sciences, and brings in some other useful philosophical concepts.

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Cosmides, Leda, John Tooby. Evolutionary Psychology: A Primer
1997, Center for Evolutionary Psychology.

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Added by: Simon Fokt, Contributed by: Patricia Rich

Abstract: The goal of research in evolutionary psychology is to discover and understand the design of the human mind.Evolutionary psychology is an approach to psychology, in which knowledge and principles from evolutionarybiology are put to use in research on the structure of the human mind. It is not an area of study, like vision,reasoning, or social behavior. It is a way of thinking about psychology that can be applied to any topic withinit.In this view, the mind is a set of information-processing machines that were designed by natural selection tosolve adaptive problems faced by our hunter-gatherer ancestors. This way of thinking about the brain, mind,and behavior is changing how scientists approach old topics, and opening up new ones. This chapter is aprimer on the concepts and arguments that animate it.

Comment: This is an enjoyable introduction to the influential evolutionary psychology research program. It touches on many issues of longstanding interest to philosophers, such as the roles of nature and nurture and the normativity of abstract reasoning. I have used it in philosophy of biology and philosophy of social science courses. For more advanced students, it can be read together with Elisabeth Lloyd's paper 'Evolutionary Psychology: The Burdens of Proof.'

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Zahle, Julie. The individualism-holism debate on intertheoretic reduction and the argument from multiple realization.
2003, Philosophy of the Social Sciences 33.1: 77-99.

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Added by: Simon Fokt, Contributed by: Patricia Rich

Abstract: The argument from multiple realization is currently considered the argument against intertheoretic reduction. Both Little and Kincaid have applied the argument to the individualism-holism debate in support of the antireductionist holist position. The author shows that the tenability of the argument, as applied to the individualism-holism debate, hinges on the descriptive constraints imposed on the individualist position. On a plausible formulation of the individualist position, the argument does not establish that the intertheoretic reduction of social theories is highly unlikely. Nonetheless, the reductive project may run into other potential obstacles. For this reason, it is concluded that the prospect of intertheoretic reduction is uncertain rather than unlikely.

Comment: This reading discusses one of the most important arguments in the methodological individualism / holism debate in the philosophy of social science. It is recommended for a philosophy of social science class.

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Douglas, Heather. Science, Policy, and the Value-Free Ideal
2009, University of Pittsburgh Press.

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Added by: Simon Fokt, Contributed by: Patricia Rich

Publisher's Note: The role of science in policymaking has gained unprecedented stature in the United States, raising questions about the place of science and scientific expertise in the democratic process. Some scientists have been given considerable epistemic authority in shaping policy on issues of great moral and cultural significance, and the politicizing of these issues has become highly contentious.

Since World War II, most philosophers of science have purported the concept that science should be “value-free.” In Science, Policy and the Value-Free Ideal, Heather E. Douglas argues that such an ideal is neither adequate nor desirable for science. She contends that the moral responsibilities of scientists require the consideration of values even at the heart of science. She lobbies for a new ideal in which values serve an essential function throughout scientific inquiry, but where the role values play is constrained at key points, thus protecting the integrity and objectivity of science. In this vein, Douglas outlines a system for the application of values to guide scientists through points of uncertainty fraught with moral valence.

Following a philosophical analysis of the historical background of science advising and the value-free ideal, Douglas defines how values should-and should not-function in science. She discusses the distinctive direct and indirect roles for values in reasoning, and outlines seven senses of objectivity, showing how each can be employed to determine the reliability of scientific claims. Douglas then uses these philosophical insights to clarify the distinction between junk science and sound science to be used in policymaking. In conclusion, she calls for greater openness on the values utilized in policymaking, and more public participation in the policymaking process, by suggesting various models for effective use of both the public and experts in key risk assessments.

Comment: Chapter 5, 'The structure of values in science', is a good introduction to the topic of the role of values in science, while defending a particular perspective. Basic familiarity with philosophy of science or science itself should be enough to understand and engage with it.

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Alexandrova, Anna, Robert Northcott. It’s just a feeling: why economic models do not explain
2013, Journal of Economic Methodology, 20(3), 262-267

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Added by: Simon Fokt, Contributed by: Patricia Rich

Abstract: Julian Reiss correctly identified a trilemma about economic models: we cannot maintain that they are false, but nevertheless explain and that only true accounts explain. In this reply we give reasons to reject the second premise – that economic models explain. Intuitions to the contrary should be distrusted.

Comment: This is a good short article to read alongside Reiss' important paper on the explanation paradox, in the context of a philosophy of economics or social science class. It argues against Reiss' premise that economic models are explanatory. It draws on, but does not require, knowledge of anyone's positions in the larger debate on the status of formal models.

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Longino, Helen. Cognitive and Non-Cognitive Values in Science: Rethinking the Dichotomy
1996, In Feminism, science, and the philosophy of science, Lynn Hankinson Nelson and Jack Nelson (Eds.) (pp. 39-58). Springer, Dordrecht.

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Added by: Simon Fokt, Contributed by: Patricia Rich

Abstract: Underdetermination arguments support the conclusion that no amount of empirical data can uniquely determine theory choice. The full content of a theory outreaches those elements of it (the observational elements) that can be shown to be true (or in agreement with actual observations).2 A number of strategies have been developed to minimize the threat such arguments pose to our aspirations to scientific knowledge. I want to focus on one such strategy: the invocation of additional criteria drawn from a pool of cognitive or theoretical values, such as simplicity or gen- erality, to bolster judgements about the worth of models, theories, and hypotheses. What is the status of such criteria? Larry Laudan, in Science and Values, argued that cognitive values could not be treated as self-validating, beyond justification, but are embedded in a three-way reticulational system containing theories, methods, and aims or values, which are involved in mutually supportive relation- ships (Laudan, 1984). My interest in this paper is not the purportedly self- validating nature of cognitive values, but their cognitive nature. Although Laudan rejects the idea that what he calls cognitive values are exempt from rational critic- ism and disagreement, he does seem to think that the reticulational system he identifies is independent of non-cognitive considerations. It is this cognitive/ non-cognitive distinction that I wish to query in this paper. Let me begin by summarizing those of my own views about inquiry in which this worry about the distinction arises.

Comment: This is a useful text discussing values in science, including clear definitions and examples, which also takes a feminist perspective on the application of values. It doesn't require very special background knowledge, but general familiarity with philosophy of science or science itself would be useful. It could fit in a variety of philosophy of science courses.

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Nelson, Julie. Feminism and economics
1995, Journal of Economic Perspectives, 9(2), 131-148.

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Added by: Simon Fokt, Contributed by: Patricia Rich

Introduction: An article in The Chronicle of Higher Education of June 30, 1993, reported, “Two decades after it began redefining debates” in many other disciplines, “feminist thinking seems suddenly to have arrived in economics.” Many economists, of course, did not happen to be in the station when this train arrived, belated as it might be. Many who might have heard rumor of its coming have not yet learned just what arguments are involved or what it promises for the refinement of the profession. The purpose of this essay is to provide a low-cost way of gaining some familiarity.

Comment: This text provides a good overview, as well as an argument regarding how the field of economics reflects masculine values, and how the field could be improved by removing this bias. It makes sense to read the text with students who have some familiarity with economics itself. It should be noted that the field of economics actually has changed in some of the ways the author recommends, since the time of publication, but the article is still relevant and provokes plenty of discussion.

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Ivanova, Milena. Did Perrin’s Experiments Convert Poincare to Scientific Realism?
2013, Hopos: The Journal of the International Society for the History of Philosophy of Science 3 (1):1-19.

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Added by: Chris Blake-Turner, Contributed by: Milena Ivanova

Abstract: In this paper I argue that Poincare's acceptance of the atom does not indicate a shift from instrumentalism to scientific realism. I examine the implications of Poincare's acceptance of the existence of the atom for our current understanding of his philosophy of science. Specifically, how can we understand Poincare's acceptance of the atom in structural realist terms? I examine his 1912 paper carefully and suggest that it does not entail scientific realism in the sense of acceptance of the fundamental existence of atoms but rather, argues against fundamental entities. I argue that Poincare's paper motivates a non-fundamentalist view about the world, and that this is compatible with his structuralism.

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