Topic: Philosophy of the Formal Social and Natural Sciences
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Stebbing, Susan. Logic in Practice
1934, Routledge

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Added by: Viviane Fairbank
Abstract:
"It must be the desire of every reasonable person to know how to justify a contention which is of sufficient importance to be seriously questioned. The explicit formulation of the principles of sound reasoning is the concern of Logic". This book discusses the habit of sound reasoning which is acquired by consciously attending to the logical principles of sound reasoning, in order to apply them to test the soundness of arguments. It isn’t an introduction to logic but it encourages the practice of logic, of deciding whether reasons in argument are sound or unsound. Stress is laid upon the importance of considering language, which is a key instrument of our thinking and is imperfect.
Comment: This is a short introduction to critical thinking, with some (light) discussion of formal logic and linguistic and epistemological considerations. It is notable in that Stebbing uses a number of applied examples and provides a unified discussion of practical and theoretical reasoning. It could easily be incorporated into a syllabus on critical thinking, introductory epistemology, or (in)formal reasoning.
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Steele, Katie Siobhan. The Scientist qua Policy Advisor Makes Value Judgments
2012, Philosophy of Science, 79(5): 893-904

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Added by: Björn Freter, Contributed by: Johanna Thoma
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.

Comment: A major contribution to the values in science debate, focusing in particular on the role of scientists as policy advisers. The text is accessible for advanced students and can be used as the central text for a session on values in science in a philosophy of science course, or a more specialised course on related topics.
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Steingart, Alma. A Group Theory of Group Theory: Collaborative Mathematics and the ‘Uninvention’ of a 1000-page Proof
2012, Social Studies of Science, 42(2): 185-213.

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Added by: Fenner Stanley Tanswell
Abstract:
Over a period of more than 30 years, more than 100 mathematicians worked on a project to classify mathematical objects known as finite simple groups. The Classification, when officially declared completed in 1981, ranged between 300 and 500 articles and ran somewhere between 5,000 and 10,000 journal pages. Mathematicians have hailed the project as one of the greatest mathematical achievements of the 20th century, and it surpasses, both in scale and scope, any other mathematical proof of the 20th century. The history of the Classification points to the importance of face-to-face interaction and close teaching relationships in the production and transformation of theoretical knowledge. The techniques and methods that governed much of the work in finite simple group theory circulated via personal, often informal, communication, rather than in published proofs. Consequently, the printed proofs that would constitute the Classification Theorem functioned as a sort of shorthand for and formalization of proofs that had already been established during personal interactions among mathematicians. The proof of the Classification was at once both a material artifact and a crystallization of one community’s shared practices, values, histories, and expertise. However, beginning in the 1980s, the original proof of the Classification faced the threat of ‘uninvention’. The papers that constituted it could still be found scattered throughout the mathematical literature, but no one other than the dwindling community of group theorists would know how to find them or how to piece them together. Faced with this problem, finite group theorists resolved to produce a ‘second-generation proof’ to streamline and centralize the Classification. This project highlights that the proof and the community of finite simple groups theorists who produced it were co-constitutive–one formed and reformed by the other.
Comment (from this Blueprint): Steingart is a sociologist who charts the history and sociology of the development of the extremely large and highly collaborative Classification Theorem. She shows that the proof involved a community deciding on shared values, standards of reliability, expertise, and ways of communicating. For example, the community became tolerant of so-called “local errors” so long as these did not put the main result at risk. Furthermore, Steingart discusses how the proof’s text is distributed across a wide number of places and requires expertise to navigate, leaving the proof in danger of uninvention if the experts retire from mathematics.
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Sterrett, Susan G.. Darwin’s analogy between artificial and natural selection: how does it go?
2002, Studies in History and Philosophy of Science Part C 33 (1):151-168.

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Added by: Chris Blake-Turner, Contributed by: Susan G. Sterrett
Abstract: The analogy Darwin drew between artificial and natural selection in "On the Origin of Species" has a detailed structure that has not been appreciated. In Darwin's analogy, the kind of artificial selection called Methodical selection is analogous to the principle of divergence in nature, and the kind of artificial selection called Unconscious selection is analogous to the principle of extinction in nature. This paper argues that it is the analogy between these two different principles familiar from his studies of artificial selection and the two different principles he claims are operative in nature that provides the main structure and force of the analogy he uses to make his case for the power of natural selection to produce new species. Darwin's statements explicitly distinguishing between these two kinds of principles at work in nature occur prominently in the text of the Origin. The paper also shows that a recent revisionist claim that Darwin did not appeal to the efficacy of artificial selection is mistaken
Comment: This paper is useful in discussing Darwin's theory as he presented it, i.e., without a knowledge of genetics. It could also be used in discussing analogy and/or metaphor in science.
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Street, Sharon. A Darwinian Dilemma for Realist Theories of Value
2006, Philosophical Studies 127 (1):109-166.

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Added by: Graham Bex-Priestley
Abstract: Contemporary realist theories of value claim to be compatible with natural science. In this paper, I call this claim into question by arguing that Darwinian considerations pose a dilemma for these theories. The main thrust of my argument is this. Evolutionary forces have played a tremendous role in shaping the content of human evaluative attitudes. The challenge for realist theories of value is to explain the relation between these evolutionary influences on our evaluative attitudes, on the one hand, and the independent evaluative truths that realism posits, on the other. Realism, I argue, can give no satisfactory account of this relation. On the one hand, the realist may claim that there is no relation between evolutionary influences on our evaluative attitudes and independent evaluative truths. But this claim leads to the implausible skeptical result that most of our evaluative judgments are off track due to the distorting pressure of Darwinian forces. The realist’s other option is to claim that there is a relation between evolutionary influences and independent evaluative truths, namely that natural selection favored ancestors who were able to grasp those truths. But this account, I argue, is unacceptable on scientific grounds. Either way, then, realist theories of value prove unable to accommodate the fact that Darwinian forces have deeply influenced the content of human values. After responding to three objections, the third of which leads me to argue against a realist understanding of the disvalue of pain, I conclude by sketching how antirealism is able to sidestep the dilemma I have presented. Antirealist theories of value are able to offer an alternative account of the relation between evolutionary forces and evaluative facts—an account that allows us to reconcile our understanding of evaluative truth with our understanding of the many nonrational causes that have played a role in shaping our evaluative judgments.
Comment: This is an influential paper that could serve either as required reading or further reading in a metaethics module. Includes a very clear explanation of realism.
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Sznajder, Marta. Janina Hosiasson-Lindenbaum on Analogical Reasoning: New Sources
2022, Erkenntnis 89(4): 1349–1365.
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Added by: Viviane Fairbank
Abstract:

Janina Hosiasson-Lindenbaum is a known figure in philosophy of probability of the 1930s. A previously unpublished manuscript fills in the blanks in the full picture of her work on inductive reasoning by analogy, until now only accessible through a single publication. In this paper, I present Hosiasson’s work on analogical reasoning, bringing together her early publications that were never translated from Polish, and the recently discovered unpublished work. I then show how her late work relates to Rudolf Carnap’s approach to “analogy by similarity” developed in the 1960s. Hosiasson turns out to be a predecessor of the line of research that models analogical influence as inductive relevance. A translation of Hosiasson’s manuscript concludes the paper.

Comment: This is a stub entry. Please add your comments below to help us expand it
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Sznajder, Marta. Inductive Logic as Explication: The Evolution of Carnap’s Notion of Logical Probability
2018, The Monist 101(4): 417–440.
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Added by: Viviane Fairbank
Abstract:

According to a popular interpretation, Carnap’s interpretation of probability had evolved from a logical towards a subjective conception. However Carnap himself insisted that his basic philosophical view of probability was always the same. I address this apparent clash between Carnap's self-identification and the subsequent interpretations of his work. Following its original intentions, I reconstruct inductive logic as an explication. The emerging picture is of a versatile linguistic framework, whose main function is not the discovery of objective logical relations in the object language, but the stipulation of conceptual possibilities. Within this representation, I map out the changes that the project went through. Seen from such an explication-based perspective, inductive logic becomes quite hard to categorize using the standard labels.

Comment: This is a stub entry. Please add your comments below to help us expand it
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Tao, Terence. What is good mathematics?
2007, Bulletin of the American Mathematical Society, 44(4): 623-634.

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Added by: Fenner Stanley Tanswell
Abstract:
Some personal thoughts and opinions on what “good quality mathematics” is and whether one should try to define this term rigorously. As a case study, the story of Szemer´edi’s theorem is presented.
Comment (from this Blueprint): Tao is a mathematician who has written extensively about mathematics as a discipline. In this piece he considers what counts as “good mathematics”. The opening section that I’ve recommended has a long list of possible meanings of “good mathematics” and considers what this plurality means for mathematics. (The remainder details the history of Szemerédi’s theorem, and argues that good mathematics also involves contributing to a great story of mathematics. However, it gets a bit technical, so only look into it if you’re particularly interested in the details of the case.)
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Taylor, Elanor. Explanation and The Right to Explanation
2023, Journal of the American Philosophical Association 1:1-16
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Added by: Deryn Mair Thomas
Abstract:

In response to widespread use of automated decision-making technology, some have considered a right to explanation. In this paper I draw on insights from philosophical work on explanation to present a series of challenges to this idea, showing that the normative motivations for access to such explanations ask for something difficult, if not impossible, to extract from automated systems. I consider an alternative, outcomes-focused approach to the normative evaluation of automated decision-making, and recommend it as a way to pursue the goods originally associated with explainability.

Comment: This paper offers a clear overview of the literature on the right to explanation and counters the mainstream view that, in the context of automated decision-making technology, that we hold such a right. It would therefore offer a useful introduction to ideas about explanability in relation to the ethics of AI and automated technologies, and could be used in a reading group context as well as in upper undergraduate and graduate level courses.
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Taylor, Sunaura. Beasts of Burden: Animal and Disability Liberation
2017, The New Press.

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Added by: Chris Blake-Turner
Publisher’s Note:
How much of what we understand of ourselves as “human” depends on our physical and mental abilities—how we move (or cannot move) in and interact with the world? And how much of our definition of “human” depends on its difference from “animal”? Drawing on her own experiences as a disabled person, a disability activist, and an animal advocate, author Sunaura Taylor persuades us to think deeply, and sometimes uncomfortably, about what divides the human from the animal, the disabled from the nondisabled—and what it might mean to break down those divisions, to claim the animal and the vulnerable in ourselves, in a process she calls “cripping animal ethics.” Beasts of Burden suggests that issues of disability and animal justice—which have heretofore primarily been presented in opposition—are in fact deeply entangled. Fusing philosophy, memoir, science, and the radical truths these disciplines can bring—whether about factory farming, disability oppression, or our assumptions of human superiority over animals—Taylor draws attention to new worlds of experience and empathy that can open up important avenues of solidarity across species and ability. Beasts of Burden is a wonderfully engaging and elegantly written work, both philosophical and personal, by a brilliant new voice.
Comment (from this Blueprint): In this excerpt from her book, Beasts of Burden, Taylor resists the way that animals and intellectual disabled people are often framed in terms of one another. She argues that this does a disservice to both groups. Animals are not voiceless, as they are often constructed. And their comparison to disabled people in the (in)famous argument from marginal cases should not be accepted. Perhaps most importantly, the argument opens for discussion the worth of disabled people’s lives. But this is not something that should be open for discussion, especially given the marginalization of disabled people.
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