Hesse, Mary. Models in Physics
1953, British Journal for the Philosophy of Science 4(15): 198-214.
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Added by: Laura Jimenez
Summary: In this article Hesse defends the idea that scientific theories are hypothetico-deductive in form. She examines this hypothetico-deductive method by considering some examples from nineteenth-century mathematical physics. By means of these examples she brings out two points about scientific hypothesis. The first is that mathematical formalisms, when used as hypotheses in the description of physical phenomena, may function like the mechanical models of an earlier stage in physics, without having in themselves any mechanical or other physical interpret. The second point is that most physicists do not regard models as literal descriptions of nature, but as standing in a relation of analogy to nature.Hesse, Mary. Models and analogies in science1966, University of Notre dame Press.-
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Added by: Laura Jimenez
Summary: In this book Hesse argues, contra Duhem, that models and analogies are integral to understanding scientific practice in general and scientific advancement in particular, especially how the domain of a scientific theory is extended and how theories generate genuinely novel predictions. Hesse thinks that, in order help us to understand a new system or phenomenon, we will often create an analogical model that compares this new system or phenomenon with a more familiar system or phenomenon. Hesse distinguishes different types of analogies according to the kinds of similarity relations in which two objects enter: Positive analogies, negative analogies, and neutral analogies. The crux of the argument is that the recognition of similarities of meaning between paired terms and the recognition of similar causal relations within two analogies plays an essential role in theoretical explanation and prediction in science.Comment: This book is an accessible introduction to the topic of scientific modelling. Useful for teaching in undergraduate courses.
D. Mitchell, Sandra. Unsimple Truths: Science, Complexity and Policy2009, The University of Chicago Press Chicago and London.-
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Added by: Laura Jimenez
Publisher's Note: In Unsimple Truths, Sandra Mitchell argues that the long-standing scientific and philosophical deference to reductive explanations founded on simple universal laws, linear causal models, and predict-and-act strategies fails to accommodate the kinds of knowledge that many contemporary sciences are providing about the world. She advocates, instead, for a new understanding that represents the rich, variegated, interdependent fabric of many levels and kinds of explanation that are integrated with one another to ground effective prediction and action. Mitchell draws from diverse fields including psychiatry, social insect biology, and studies of climate change to defend "integrative pluralism" - a theory of scientific practices that makes sense of how many natural and social sciences represent the multi-level, multi-component, dynamic structures they study. She explains how we must, in light of the now-acknowledged complexity and contingency of biological and social systems, revise how we conceptualize the world, how we investigate the world, and how we act in the world.Comment: The first five chapters, dealing with scientific methodology and epistemology could serve for undergraduate courses in general philosophy of science. The last chapter dedicated to integrative pluralism, is more specialized and thus more suitable for postgraduate courses.
Hesse, Mary. The Structure of scientific inference1974, University of California Press.-
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Added by: Laura Jimenez
Publisher's Note: A danger of a heavily formalist approach to the structure of science is that it may lose sight of the concrete actualities on which scientific inference is exercised. On the other hand, and excessively descriptive and relativist approach fails to achieve a general systematization of models of inference. This book tries to steer a middle course between these extremes. Hesse first discusses some epistemological problems bequeathed by positivists analyses of science and also considers the problem of inductive justification of theories in relation to evidence. Following Keynes and Carnap she argues that the axioms of probability constitute the best postulate system for a logic of confirmation.Comment: Highly recommended for undergraduates. It covers many important points of the topic: confirmation theory, generalizations, causal laws… It is useful for courses in philosophy of science but it could also serve as a further reading for courses in epistemology.
Longino, Helen. Can there be a feminist science?1987, Hypatia 2(3): 51-64.-
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Added by: Laura Jimenez
Abstract: 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.Comment: An original work that introduces philosophy of science to feminism. Could serve as further reading for a course on both scientific methodology and social constructivism. It is an easy reading but because highly specialized. I would recommend it for postgraduate courses.
Elsamahi, Mohamed. A ctitique of localized realism2005, Philosophy of Science 72(5): 1350-1360.-
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Added by: Laura Jimenez
Abstract: In an attempt to avert Laudan's pessimistic induction, Worrall and Psillos introduce a narrower version of scientific realism. According to this version, which can be referred to as "localized realism", realists need not accept every component in a successful theory. They are supposed only to accept those components that led to the theory's empirical success. Consequently, realists can avoid believing in dubious entities like the caloric and ether. This paper examines and critiques localized realism. It also scrutinizes Psillos's historical study of the caloric theory of heat, which is intended to support localized realism.Comment: Recommended as further reading for studying scientific realism and anti-realism. Preferable for postgraduate students since previous knowledge of theories in science helps to a better understanding of this article.
Shrader-Frechette, Kristine. Tainted: How Philosophy of Science can expose bad science2014, Oxford University Press USA.-
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Added by: Laura Jimenez
Abstract: Lawyers often work pro bono to liberate death-row inmates from flawed legal verdicts that otherwise would kill them. This is the first book on practical philosophy of science, how to practically evaluate scientific findings with life-and-death consequences. Showing how to uncover scores of scientific flaws - typically used by special interests who try to justify their pollution - this book aims to liberate many potential victims of environmentally induced disease and death.It shows how citizens can help uncover flawed science and thus liberate people from science-related societal harms such as pesticides, waste dumps, and nuclear power. It shows how flawed biology, economics, hydrogeology, physics, statistics, and toxicology are misused in ways that make life-and-death differences for humans. It thus analyzes science at the heart of contemporary controversies - from cell phones, climate change, and contraceptives, to plastic food containers and radioactive waste facilities. It illustrates how to evaluate these scientific findings, instead of merely describing what they are. Practical evaluation of science is important because, at least in the United States, 75 percent of all science is funded by special interests, to achieve specific practical goals, such as developing pharmaceuticals or showing some pollutant causes no harm. Of the remaining 25 percent of US science funding, more than half addresses military goals. This means that less than one-eighth of US science funding is for basic science; roughly seven-eighths is done by special interests, for practical projects from which they hope to profit. The problem, however, is that often this flawed, special-interest science harms the public.Comment: Recommended for students in philosophy of science, environmental ethics or science policy. Could serve as an introductory reading for practical philosophy of science. It is easy to read and suitable for undergraduate students.
Chuang, Liu. Models, fiction and fictional models2014, In Guichun Guo, Chuang Liu (eds.) Scientific Explanation and Methodology in Science, World Scientific Publishing Co.-
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Added by: Laura Jimenez
Summary: The use of models to scientifically represent and study reality is widely recognized with good reasons as indispensable for the practice of science. Because models, unlikely pure verbal representation, are justifiably regarded as vehicles of representation that are not truth-apt, philosophical questions are natural raised concerning the nature of such vehicles and how they represent. A sizeable literature generated in recent years explores the possibility that ''scientific models are works of fiction''. Idealization and other similar strategies are often taken to be the means by which models are made. Arguing against this last claim, the thesis of this article is that most models in science are not fictional. The author argues against the idea that idealization is the means by which models of typically unobservable systems or mechanisms are made.Comment: Interesting paper about scientific modeling and scientific representation. Useful for undergraduates and postgraduates courses in philosophy of science.
Ivanova, Milena. Pierre Duhem’s Good Sense as a Guide to Theory Choice2010, Studies in History and Philosophy of Science part A 41(1): 58-64.-
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Added by: Laura Jimenez, Contributed by: Ivanova, Milena
Abstract: This paper examines Duhem's concept of good sense as an attempt to support a non rule-governed account of rationality in theory choice. Faced with the underdetermination of theory by evidence thesis and the continuity thesis, Duhem tried to account for the ability of scientists to choose theories that continuously grow to a natural classification. The author examines the concept of good sense and the problems that stem from it. The paper presents a recent attempt by David Stump to link good sense to virtue epistemology. It is argued that even though this approach can be useful for the better comprehension of the concept of good sense, there are some substantial differences between virtue epistemologists and Duhem. The athor proposes a possible way to interpret the concept of good sense, which overcomes the noted problems and fits better with Duhem's views on scientific method and motivation in developing the concept of good sense.Comment: Interesting article that could serve as further reading in both epistemology courses and philosophy of science classes. Really good as an in-depth study of Duhem's views on scientific method. Recommendable for postgraduates or senior undergraduates.
Kleinsschmidt, Shieva. Reasoning without the principle of sufficient reason2013, In Tyron Goldschmidt (ed.), The Philosophy of Existence: Why Is There Something Rather Than Nothing? Routledge. 64-79.-
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Added by: Laura Jimenez
Abstract: According to Principles of Sufficient Reason, every truth (in some relevant group) has an explanation. One of the most popular defenses of Principles of Sufficient Reason has been the presupposition of reason defense, which takes endorsement of the defended PSR to play a crucial role in our theory selection. According to recent presentations of this defense, our method of theory selection often depends on the assumption that, if a given proposition is true, then it has an explanation, and this will only be justified if we think this holds for all propositions in the relevant group. In this paper the author argues that this argument fails even when restricted to contingent propositions, and even if we grant that there is no non-arbitrary way to divide true propositions that have explanations from those that lack them. The author gives an alternate explanation of what justifies our selecting theories on the basis of explanatory features: the crucial role is not played by an endorsement of a PSR, but rather by our belief that, prima facie, we should prefer theories that exemplify explanatory power to greater degrees than their rivals.Comment: The text covers many topics in a level proper for undergraduates: The principle of sufficient reason, the inductive argument, the problem of the Many, explanatory power, etc. Even if the reader doesn't identify with the view of the author, this article could serve as a good practice to build confidence with philosophical concepts that are crucial for metaphysics and philosophy of science.
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Comment: A really good paper about models in science, mathematical formalism and hypothesis. Highly recomended for postgraduates studying philosophy of physics, although it could also be readable by undergraduates (last years) with previous knowledge of scientific modelling.