Predictivism asserts that novel confirmations carry special probative weight. Epistemic pluralism asserts that the judgments of agents (about, e.g., the probabilities of theories) carry epistemic import. In this paper, I propose a new theory of predictivism that is tailored to pluralistic evaluators of theories. I replace the orthodox notion of use-novelty with a notion of endorsement-novelty, and argue that the intuition that predictivism is true has two roots. I provide a detailed Bayesian rendering of this theory and argue that pluralistic (...) theory evaluation pervades scientific practice. I compare my account of predictivism with those of Maher and Worrall. Introduction Why construction is a red herring for pluralist evaluators The unvirtuous accommodator Virtuous endorsers and the two roots of predictivism The two roots in Bayesian terms: the priors and background beliefs of endorsers Who are the pluralist evaluators? Two contemporary theories of predictivism 7.1 Maher: Reliable methods of theory construction 7.2 Worrall: The confirmation of core ideas Conclusion. (shrink)

Empirical philosophers of science aim to base their philosophical theories on observations of scientific practice. But since there is far too much science to observe it all, how can we form and test hypotheses about science that are sufficiently rigorous and broad in scope, while avoiding the pitfalls of bias and subjectivity in our methods? Part of the answer, we claim, lies in the computational tools of the digital humanities, which allow us to analyze large volumes of scientific literature. Here (...) we advocate for the use of these methods by addressing a number of large-scale, justificatory concerns—specifically, about the epistemic value of journal articles as evidence for what happens elsewhere in science, and about the ability of DH tools to extract this evidence. Far from ignoring the gap between scientific literature and the rest of scientific practice, effective use of DH tools requires critical reflection about these relationships. (shrink)

Learning the unique linguistic forms and structures that construct and communicate scientific principles, knowledge, and beliefs is important for developing students’ disciplinary literacy. The use of scientific language is apparent in the texts that scientists produce to communicate their findings to other scientists—the research articles. Texts are underused in the science classroom and the texts that students do read often do not reflect the core attributes of authentic scientific reasoning. Adapted primary literature refers to an educational genre that enables the (...) use of scientific articles in high school. In the adaptation process, the language of the article is changed to make it more accessible for high school students. Here, we present a systemic functional linguistics analysis of an APL article compared to the original research article and to a popular article. The three texts were systematically scanned and compared for specific lexicogrammatical items that characterize five linguistic features of scientific writing: informational density, abstraction, technicality, authoritativeness, and hedging. We found that the adaptation process lowered the lexical complexity, while retaining the authenticity of the scientific writing. APL articles, as suggested by the linguistic analysis presented here, may serve as models of scientific reasoning and communication and may promote students’ language awareness and disciplinary literacy. We suggest using APL articles as an apprenticeship genre, for learning about the unique features of authentic scientific texts, and the reasoning that is reflected in the way the articles are written. (shrink)

Different approaches to expertise and argumentation are discussed. After introducing the problem of expertise and its present day significance in a historical context, various connections with the study of arguments are highlighted. The need for and potential of argumentation analysis to contribute to existing research in social epistemology, science studies, and cognitive science, is discussed, touching on the problems of reasoning and argumentation, embodiment, tacit knowledge, expert context versus public context, expert disagreement, persuasion versus justification, and argument analysis as meta-expertise. (...) As the arguments used by experts constitute a boundary object, we presume that a dialogue format is suitable to address central problems of the special issue “Rethinking Arguments from Experts”. (shrink)

Philip Kitcher rejects the global pessimists' view that the conclusions reached in inquiry are determined by the interests of some segment of the population, arguing that only some inquiries, for example, inquiries into race and gender, are adversely affected by interests. I argue that the biases Kitcher believes affect such inquiries are operative in all domains, but the prevalence of such biases does not support global pessimism. I argue further that in order to address the global pessimists' concerns, the scientific (...) community needs criticism from people with diverse interests and background assumptions. (shrink)

This paper attempts to revive the epistemological discussion of scientific articles. What are their epistemic aims, and how are they achieved? We argue that scientific experimental articles are best understood as a particular kind of narrative: i.e., modernist narratives (think: Woolf, Joyce), at least in the sense that they employ many of the same techniques, including colligation and the juxtaposition of multiple perspectives. We suggest that this way of writing is necessary given the nature of modern science, but it also (...) has specific epistemic benefits: it provides readers with an effective way to grasp the content of scientific articles which increases their understanding. On the other hand, modernist writing is vulnerable to certain kinds of epistemic abuses, which can be found instantiated in modern scientific writing as well. (shrink)

Fred Suppe claims that the refereed journal article is an appropriate unit of scientific debate for philosophical analysis. He also claims that when we regiment scientific papers correctly, we can see that the hypothetico-deductive method, Baysian induction, and inference to the best explanation fail to capture the structure of scientific articles adequately. In what follows I demonstrate that the coding scheme Suppe used for uncovering the structure of a scientific paper is not appropriate under all circumstances, illustrate alternative structures found (...) in various scientific articles, and show that the hypothetico-deductive method can accommodate the alternative structures I find. My conclusions are that the article that Suppe analyzed is not paradigmatic of published scientific articles, that different papers have different structures, that the structure depends upon the rhetorical goals of the article, and that, because of the different structures and different goals, no one philosophical account of testing is going to suffice. (shrink)

The 20th century philosophy of science began on a positivistic note. Its focal point was scientific explanation and the hypothetico-deductive (HD) framework of explanation was proposed as the standard of what is meant by “science.” HD framework, its inductive and statistical variants, and other logic-based approaches to modeling scientific explanation were developed long before the dawn of the information age. Since that time, the volume of observational data and power of high performance computing have increased by several orders of magnitude (...) and reshaped the practice and concept of science, and indeed, the philosophy of science. A new observational-inductive (OI) framework for scientific research is emerging due to recent developments in sensors, data systems, computers, and knowledge discovery techniques. We examine the nature of these changes and their impact on the question of what is meant by “science” after discussing five examples of the OI framework, and conclude that the HD and OI frameworks are complementary and synergistic. (shrink)