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)

1. Overview and organizing themes 2. Historical Review: Aristotle to Mill 3. Logic of method and critical responses 3.1 Logical constructionism and Operationalism 3.2. H-D as a logic of confirmation 3.3. Popper and falsificationism 3.4 Meta-methodology and the end of method 4. Statistical methods for hypothesis testing 5. Method in Practice 5.1 Creative and exploratory practices 5.2 Computer methods and the ‘third way’ of doing science 6. Discourse on scientific method 6.1 “The scientific method” in science education and as seen (...) by scientists 6.2 Privileged methods and ‘gold standards’ 6.3 Scientific method in the court room 6.4 Deviating practices 7. Conclusion Bibliography Academic Tools Other Internet Resources Related Entries . (shrink)

This article identifies a fundamental distinction in scientific practice: the mismatch between what scientists do and what they state they did when they communicate their findings in their publications. The insight that such a mismatch exists is not new. It was already implied in Hans Reichenbach's distinction between the contexts of discovery and justification, and it is taken for granted across the board in philosophy of science and science studies. But while there is general agreement that the mismatch exists, the (...) epistemological implications of that mismatch are not at all clear. Philosophers, historians, and sociologists of different stripes have expressed widely different views about how one should understand and interpret the relation between what scientists do and what they state they did. This article surveys a number of approaches to the mismatch. Based on this survey, I offer an assessment of the epistemological significance of the mismatch and identify the major meta-epistemological challenges that it poses for the analysis of scientific practice. *Received May 2007; revised April 2008. †To contact the author, please write to: Department of History and Philosophy of Science, 1011 East Third Street, Goodbody Hall 130, Indiana University, Bloomington, IN 47405; e-mail: [email protected]. (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)

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)

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)

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)

Scientists generally record their laboratory activities and experimental results in notebooks, from which they construct scientific papers. The Johns Hopkins physiologist William Henry Howell kept a laboratory notebook from 1913 to 1914, in which he recorded experiments on the blood clotting factor prothrombin. In 1914 he published a paper using this notebook, to justify his theory of prothrombin activation. Howell's paper is reconstructed, in terms of its narrative and argument elements, from the laboratory activities and experimental results recorded in the (...) notebook. This reconstruction reveals an intimate connection between the two texts and the process by which Howell constructed a scientific paper. The generation of scientific knowledge by Howell is then evaluated, especially in terms of theory formation and justification. (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)

: Errors in science range along a spectrum from those relatively local to the phenomenon (usually easily remedied in the laboratory) to those more conceptually derived (involving theory or cultural factors, sometimes quite long-term). One may classify error types broadly as material, observational, conceptual or discoursive. This framework bridges philosophical and sociological perspectives, offering a basis for interfield discourse. A repertoire of error types also supports error analytics, a program for deepening reliability through strategies for regulating and probing error.

Scientific reasoning is particularly pertinent to science education since it is closely related to the content and methodologies of science and contributes to scientific literacy. Much of the research in science education investigates the appropriate framework and teaching methods and tools needed to promote students’ ability to reason and evaluate in a scientific way. This paper aims to contribute to an extended understanding of the nature and pedagogical importance of model-based reasoning and to exemplify how using computer simulations can support (...) students’ model-based reasoning. We provide first a background for both scientific reasoning and computer simulations, based on the relevant philosophical views and the related educational discussion. This background suggests that the model-based framework provides an epistemologically valid and pedagogically appropriate basis for teaching scientific reasoning and for helping students develop sounder reasoning and decision-taking abilities and explains how using computer simulations can foster these abilities. We then provide some examples illustrating the use of computer simulations to support model-based reasoning and evaluation activities in the classroom. The examples reflect the procedure and criteria for evaluating models in science and demonstrate the educational advantages of their application in classroom reasoning activities. (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)

According to the demand of the Hypothetico-Deductive (H-D) method, a theory is confirmed when the prediction-observation (p-o) gap is small and disconfirmed when the gap is large. A major goal of this paper is to introduce a research domain for which this demand does not hold. In contrast to the H-D method's demand, this research, called the Catch model for reconstructing a face previously seen from memory, requires an increase, within limits, in the p-o gap. The Catch model research substantiates (...) theoretically and empirically a new proposed method that I call the "Deductive-Reconstruction" (D-R) method. This method provides essential conditions whose fulfillment guarantees successful reconstruction of past events (a face previously seen) from memory. It is argued that the D-R method fits the area of research of reconstructing past events from memory better than the H-D method. Application of the H-D method to the Catch model's research domain leads to an internal contradiction and failure to reconstruct past events (a face previously seen) from memory. Finally, the nature of the D-R method along with the Catch model is discussed from three points of view: confirmation, explanation, and generality. (shrink)