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Kimmerer, Robin Wall. Braiding Sweetgrass: Indigenous Wisdom, Scientific Knowledge, and the Teaching of Plants
2015, Milkweed Editions.
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Added by: Sonja Dobroski and Quentin Pharr
Publisher’s Note: As a botanist, Robin Wall Kimmerer has been trained to ask questions of nature with the tools of science. As a member of the Citizen Potawatomi Nation, she embraces the notion that plants and animals are our oldest teachers. In Braiding Sweetgrass, Kimmerer brings these lenses of knowledge together to show that the awakening of a wider ecological consciousness requires the acknowledgment and celebration of our reciprocal relationship with the rest of the living world. For only when we can hear the languages of other beings are we capable of understanding the generosity of the earth, and learning to give our own gifts in return.

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Lloyd, Elisabeth A.. The Case of the Female Orgasm: Bias in the Science of Evolution
2007, Hypatia 22 (3):218-222.
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Added by: Clotilde Torregrossa, Contributed by: Carl Hoefer
Abstract: Why women evolved to have orgasms - when most of their primate relatives don't - is a persistent mystery among evolutionary biologists. In pursuing this mystery, Elisabeth Lloyd arrives at another: How could anything as inadequate as the evolutionary explanations of the female orgasm have passed muster as science? A judicious and revealing look at all twenty evolutionary accounts of the trait of human female orgasm, Lloyd's book is at the same time a case study of how certain biases steer science astray. Over the past fifteen years, the effect of sexist or male-centered approaches to science has been hotly debated. Drawing especially on data from nonhuman primates and human sexology over eighty years, Lloyd shows what damage such bias does in the study of female orgasm. She also exposes a second pernicious form of bias that permeates the literature on female orgasms: a bias toward adaptationism. Here Lloyd's critique comes alive, demonstrating how most of the evolutionary accounts either are in conflict with, or lack, certain types of evidence necessary to make their cases - how they simply assume that female orgasm must exist because it helped females in the past reproduce. As she weighs the evidence, Lloyd takes on nearly everyone who has written on the subject: evolutionists, animal behaviorists, and feminists alike. Her clearly and cogently written book is at once a convincing case study of bias in science and a sweeping summary and analysis of what is known about the evolution of the intriguing trait of female orgasm.

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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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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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Okasha, Samir. Philosophy of Science: A very short introduction
2002, Oxford University Press.
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Added by: Laura Jimenez
Back Matter: What is science? Is there a real difference between science and myth? Is science objective? Can science explain everything? This Very Short Introduction provides a concise overview of the main themes of contemporary philosophy of science. Beginning with a short history of science to set the scene, Samir Okasha goes on to investigate the nature of scientific reasoning, scientific explanation, revolutions in science, and theories such as realism and anti-realism. He also looks at philosophical issues in particular sciences, including the problem of classification in biology, and the nature of space and time in physics. The final chapter touches on the conflicts between science and religion, and explores whether science is ultimately a good thing.

Comment: The book is extremely readable and clear. It is perfect as an introduction for undergraduate students to philosophy of science. It offers an overview of the most important topics of the field including philosophical problems in biology, physics, and linguistics.

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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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Richardson, S. Sarah. Sex Itself: The Search for Male and Female in the Human Genome
2013, The University of Chicago Press.
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Added by: Andrea Blomqvist, Contributed by: Isela
Publisher's Note: Human genomes are 99.9 percent identical—with one prominent exception. Instead of a matching pair of X chromosomes, men carry a single X, coupled with a tiny chromosome called the Y. Tracking the emergence of a new and distinctive way of thinking about sex represented by the unalterable, simple, and visually compelling binary of the X and Y chromosomes, Sex Itself examines the interaction between cultural gender norms and genetic theories of sex from the beginning of the twentieth century to the present, postgenomic age. Using methods from history, philosophy, and gender studies of science, Sarah S. Richardson uncovers how gender has helped to shape the research practices, questions asked, theories and models, and descriptive language used in sex chromosome research. From the earliest theories of chromosomal sex determination, to the mid-century hypothesis of the aggressive XYY supermale, to the debate about Y chromosome degeneration, to the recent claim that male and female genomes are more different than those of humans and chimpanzees, Richardson shows how cultural gender conceptions influence the genetic science of sex. Richardson shows how sexual science of the past continues to resonate, in ways both subtle and explicit, in contemporary research on the genetics of sex and gender. With the completion of the Human Genome Project, genes and chromosomes are moving to the center of the biology of sex. Sex Itself offers a compelling argument for the importance of ongoing critical dialogue on how cultural conceptions of gender operate within the science of sex.

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Sterrett, Susan G.. Turing’s Two Tests For Intelligence
2000, Minds and Machines 10(4): 541-559.
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Added by: Nick Novelli, Contributed by: Susan G. Sterrett
Abstract: On a literal reading of `Computing Machinery and Intelligence'', Alan Turing presented not one, but two, practical tests to replace the question `Can machines think?'' He presented them as equivalent. I show here that the first test described in that much-discussed paper is in fact not equivalent to the second one, which has since become known as `the Turing Test''. The two tests can yield different results; it is the first, neglected test that provides the more appropriate indication of intelligence. This is because the features of intelligence upon which it relies are resourcefulness and a critical attitude to one''s habitual responses; thus the test''s applicablity is not restricted to any particular species, nor does it presume any particular capacities. This is more appropriate because the question under consideration is what would count as machine intelligence. The first test realizes a possibility that philosophers have overlooked: a test that uses a human''s linguistic performance in setting an empirical test of intelligence, but does not make behavioral similarity to that performance the criterion of intelligence. Consequently, the first test is immune to many of the philosophical criticisms on the basis of which the (so-called) `Turing Test'' has been dismissed.

Comment: This paper provides a good analysis of some of the problems with the Turing Test and how they can be avoided. It can be good to use in teaching the classic Turing 1950 paper on the question of whether a computer could be said to 'think' that considers the role of gender in the imitation game version of the test. It could also contribute to an examination of the concept of intelligence, and machine intelligence in particular.

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Thalos, Mariam. A modest proposal for interpreting structural explanations
1998, British Journal for the Philosophy of Science 49(2): 279-295.
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Added by: Nick Novelli
Abstract: Social sciences face a well-known problem, which is an instance of a general problem faced as well by psychological and biological sciences: the problem of establishing their legitimate existence alongside physics. This, as will become clear, is a problem in metaphysics. I will show how a new account of structural explanations, put forward by Frank Jackson and Philip Pettit, which is designed to solve this metaphysical problem with social sciences in mind, fails to treat the problem in any importantly new way. Then I will propose a more modest approach, and show how it does not deserve the criticism directed at a prototype by Jackson and Pettit

Comment: An interesting argument for the value of structual explanations in sociology. Useful in the context of a discussion of reductionism or of the proper classification of social sciences as real science.

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Thalos, Mariam. Truth deserves to be believed
2013, Philosophy 88(2): 179-196.
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Added by: Nick Novelli
Abstract: Science seems generally to aim at truth. And governmental support of science is often premised on the instrumental value of truth in service of advancing our practical objectives, both as individuals and as communities, large and small. While there is some political expediency to this view, it is not correct. The value of truth is nowise that it helps us achieve our aims. In fact, just the contrary: truth deserves to be believed only on the condition that its claim upon us is orthogonal to any utility it might have in the service of (any and all) practical ends

Comment: A good anti-pragmatist argument, useful in an exploration of the aims of science, or a good introduction to truth and objectivity in science as an illustration of the reason that might matter. Suitable for both undergraduate and graduate teaching.

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