Much of the history of physics at the beginning of the twentieth century has been written with a sharp focus on a few key figures and a handful of notable events. Einstein’s Generation offers a distinctive new approach to the origins of modern physics by exploring both the material culture that stimulated relativity and the reaction of Einstein’s colleagues to his pioneering work. Richard Staley weaves together the diverse strands of experimental and theoretical physics, commercial instrument making, and the (...) sociology of physics around 1900 to present a complete view of the collective efforts of a group whose work helped set the stage for Einstein’s revolutionary theories and the transition from classical to modern physics that followed. Collecting papers, talks, catalogues, conferences, and correspondence, Staley juxtaposes scientists’ views of relativity at the time to modern understandings of its history. Ultimately, Einstein’s Generation tells the story of a group of individuals whose work engendered some of the most significant advances of the twentieth century—and challenges our celebration of Einstein’s era above all others. (shrink)
Revisiting the history of relativity Content Type Journal Article DOI 10.1007/s11016-010-9466-4 Authors Lewis Pyenson, Department of History, Western Michigan University, Kalamazoo, MI 49008-5242, USA Sean F. Johnston, School of Interdisciplinary Studies, University of Glasgow, Rutherford-McCowan Building, Dumfries, Glasgow, Scotland G2 0RB, UK Alberto A. Martínez, Department of History, University of Texas at Austin, 1 University Station B7000, Austin, TX 78712-0220, USA Richard Staley, Department of the History of Science, University of Wisconsin-Madison, 226 Bradley Memorial Building, 1225 Linden Drive, Madison, (...) WI 53706-1528, USA Journal Metascience Online ISSN 1467-9981 Print ISSN 0815-0796 Journal Volume Volume 20 Journal Issue Volume 20, Number 1. (shrink)
(Almost) All about error Content Type Journal Article Category Book Review Pages 1-5 DOI 10.1007/s11016-011-9618-1 Authors Kent W. Staley, Department of Philosophy, Saint Louis University, 3800 Lindell Blvd., St. Louis, MO 63108, USA Journal Metascience Online ISSN 1467-9981 Print ISSN 0815-0796.
While epistemic justification is a central concern for both contemporary epistemology and philosophy of science, debates in contemporary epistemology about the nature of epistemic justification have not been discussed extensively by philosophers of science. As a step toward a coherent account of scientific justification that is informed by, and sheds light on, justificatory practices in the sciences, this paper examines one of these debates—the internalist–externalist debate—from the perspective of objective accounts of scientific evidence. In particular, we focus on Deborah Mayo’s (...) error-statistical theory of evidence because it is a paradigmatically objective theory of evidence that is strongly informed by methodological practice. We contend that from the standpoint of such an objective theory of evidence, justification in science has both externalist and internalist characteristics. In reaching this conclusion, however, we find that the terms of the contemporary debate between internalists and externalists have to be redefined to be applicable to scientific contexts. (shrink)
This paper examines probabilistic versions of the fine-tuning argument for design (FTA), with an emphasis on the interpretation of the probability statements involved in such arguments. Three categories of probability are considered: physical, epistemic, and logical. Of the three possibilities, I argue that only logical probability could possibly support a cogent probabilistic FTA. However, within that framework, the premises of the argument require a level of justification that has not been met, and, it is reasonable to believe, will not be (...) met anytime soon. (shrink)
: Evidence claims depend on fallible assumptions. Three strategies for making true evidence claims in spite of this fallibility are strengthening the support for those assumptions, weakening conclusions, and using multiple independent tests to produce robust evidence. Reliability itself, understood in frequentist terms, does not explain the usefulness of all three strategies; robustness, in particular, sometimes functions in a way that is not well-characterized in terms of reliability. I argue that, in addition to reliability, the security of evidence claims is (...) of epistemic value, where an evidence claim is secure relative to an epistemic situation if it remains true in all scenarios that are epistemically possible relative to that epistemic situation. (shrink)
Some accounts of evidence regard it as an objective relationship holding between data and hypotheses, perhaps mediated by a testing procedure. Mayo’s error-statistical theory of evidence is an example of such an approach. Such a view leaves open the question of when an epistemic agent is justified in drawing an inference from such data to a hypothesis. Using Mayo’s account as an illustration, I propose a framework for addressing the justification question via a relativized notion, which I designate security , (...) meant to conceptualize practices aimed at the justification of inferences from evidence. I then show how the notion of security can be put to use by showing how two quite different theoretical approaches to model criticism in statistics can both be viewed as strategies for securing claims about statistical evidence. (shrink)
Some prominent accounts of scientific evidence treat evidence as an unrelativized concept. But whether belief in a hypothesis is justified seems relative to the epistemic situation of the believer. The issue becomes yet more complicated in the context of group epistemic agents, for then one confronts the problem of relativizing to an epistemic situation that may include conflicting beliefs. As a step toward resolution of these difficulties, an ideal of justification is here proposed that incorporates both an unrelativized evidence requirement (...) and the requirement of the security of the evidence on which a conclusion from data is based. The latter requirement incorporates the consideration of epistemic modal statements. (shrink)
: Evidence claims depend on fallible assumptions. This paper discusses inferential robustness as a strategy for justifying evidence claims in spite of this fallibility. I argue that robustness can be understood as a means of establishing the partial security of evidence claims. An evidence claim is secure relative to an epistemic situation if it remains true in all scenarios that are epistemically possible relative to that epistemic situation.
From the perspective of Mayo’s error statistical theory of evidence, I explore problems and prospects for an account of the objectivity of scientific evidence. A recent proposal by Peter Achinstein provides the starting point. I consider a challenge to this proposal arising from the role of agents in carrying out the testing procedures that are central to the error statistical theory. Achinstein’s objective concept of unrelativized potential evidence initially resolves these difficulties, only to give way to a deeper incompatibility between (...) Achinstein’s conception of objectivity of reasons to believe and the error statistical theory of evidence. I propose an alternative account of objectivity of reasons that is compatible with the error statistical theory. (shrink)
This paper examines the role of evidential considerations in relation to pragmatic concerns in statements of group belief, focusing on scientific collaborations that are constituted in part by the aim of evaluating the evidence for scientific claims (evidential collaborations). Drawing upon a case study in high energy particle physics, I seek to show how pragmatic factors that enter into the decision to issue a group statement contribute positively to the epistemic functioning of such groups, contrary to the implications of much (...) of the existing discussion of group belief. I conclude by suggesting that applying social epistemological considerations to scientific collaborations could be practically beneficial, but only if an appropriately broad range of epistemic values is considered. (shrink)
Many philosophers have claimed that evidence for a theory is better when multiple independent tests yield the same result, i.e., when experimental results are robust. Little has been said about the grounds on which such a claim rests, however. The present essay presents an analysis of the evidential value of robustness that rests on the fallibility of assumptions about the reliability of testing procedures and a distinction between the strength of evidence and the security of an evidence claim. Robustness can (...) enhance the security of an evidence claim either by providing what I call second-order evidence, or by providing back-up evidence for a hypothesis. (shrink)
Evidence claims depend on fallible assumptions. Three strategies for making true evidence claims in spite of this fallibility are strengthening the support for those assumptions, weakening conclusions, and using multiple independent tests to produce robust evidence. Reliability itself, understood in frequentist terms, does not explain the usefulness of all three strategies; robustness, in particular, sometimes functions in a way that is not well-characterized in terms of reliability. I argue that, in addition to reliability, the security of evidence claims is of (...) epistemic value, where an evidence claim is secure relative to an epistemic situation if it remains true in all scenarios that are epistemically possible relative to that epistemic situation. (shrink)
Experimenters sometimes insist that it is unwise to examine data before determining how to analyze them, as it creates the potential for biased results. I explore the rationale behind this methodological guideline from the standpoint of an error statistical theory of evidence, and I discuss a method of evaluating evidence in some contexts when this predesignation rule has been violated. I illustrate the problem of potential bias, and the method by which it may be addressed, with an example from the (...) search for the top quark. A point in favor of the error statistical theory is its ability, demonstrated here, to explicate such methodological problems and suggest solutions, within the framework of an objective theory of evidence. (shrink)
: I propose an epistemological extension of the error-statistical (ES) account of inference advocated by Deborah Mayo. To supplement the unrelativized account of evidence provided by ES, I propose a relativized notion, which I designate security, meant to conceptualize practices aimed at the justification of inferences from evidence. I then show how the notion of security can be put to use by showing how two very different theoretical approaches to model criticism in statistics can both be viewed as strategies for (...) securing (in my sense) claims about statistical evidence. (shrink)
I contrast two modes of error-elimination relevant to evaluating evidence in accounts that emphasize frequentist reliability. The contrast corresponds to that between the use of of a reliable inference procedure and the critical scrutiny of a procedure with regard to its reliability, in light of what is and is not known about the setting in which the procedure is used. I propose a notion of security as a category of evidential assessment for the latter. In statistical settings, robustness theory and (...) misspecification testing exemplify two distinct strategies for securing statistical inferences. (shrink)
: For philosophers of science interested in elucidating the social character of science, an important question concerns the manner in which and degree to which the objectivity of scientific knowledge is socially constituted. We address this broad question by focusing specifically on philosophical theories of evidence. To get at the social character of evidence, we take an interdisciplinary approach informed by categories from argumentation studies. We then test these categories by exploring their applicability to a case study from high-energy physics. (...) Our central claim is that normative philosophy of science must move beyond abstract theories of justification, confirmation, or evidence conceived impersonally and incorporate a theoretical perspective that includes dialogical elements, either as adjuncts to impersonal theories of evidence or as intrinsic to the cogency of scientific argumentation. (shrink)
Experimenters sometimes insist that it is unwise to examine data before determining how to analyze them, as it creates the potential for biased results. I explore the rationale behind this methodological guideline from the standpoint of an error statistical theory of evidence, and I discuss a method of evaluating evidence in some contexts when this predesignation rule has been violated. I illustrate the problem of potential bias, and the method by which it may be addressed, with an example from the (...) search for the top quark. A point in favor of the error statistical theory is its ability, demonstrated here, to explicate such methodological problems and suggest solutions, within the framework of an objective theory of evidence. (shrink)
: Peter Galison has recently claimed that twentieth-century microphysics has been pursued by two distinct experimental traditions--the image tradition and the logic tradition--that have only recently merged into a hybrid tradition. According to Galison, the two traditions employ fundamentally different forms of experimental argument, with the logic tradition using statistical arguments, while the image tradition strives for non-statistical demonstrations based on compelling ("golden") single events. I show that discoveries in both traditions have employed the same statistical form of argument, even (...) when basing discovery claims on single, golden events. Where Galison sees an epistemic divide between two communities that can only be bridged by a creole- or pidgin-like "interlanguage," there is in fact a shared commitment to a statistical form of experimental argument. (shrink)
I consider the error-statistical account as both a theory of evidence and as a theory of inference. I seek to show how inferences regarding the truth of hypotheses can be upheld by avoiding a certain kind of alternative hypothesis problem. In addition to the testing of assumptions behind the experimental model, I discuss the role of judgments of implausibility. A benefit of my analysis is that it reveals a continuity in the application of error-statistical assessment to low-level empirical hypotheses and (...) highly general theoretical principles. This last point is illustrated with a brief sketch of the issues involved in the parametric framework analysis of tests of physical theories such as General Relativity and of fundamental physical principles such as the Einstein Equivalence Principle. (shrink)
It is sometimes held that facts confirm a hypothesis only if they were not used in the construction of that hypothesis. This requirement of "use novelty" introduces a historical aspect into the assessment of evidence claims. I examine a methodological principle invoked by physicists in the experimental search for the top quark that bears a striking resemblance to this view. However, this principle is better understood, both historically and philosophically, in terms of the need to conduct a severe test than (...) in terms of use novelty. Nevertheless, a historical factor remains in the assessment of some evidence claims. (shrink)
This paper develops the outlines of a pragmatic, adaptive management-based approach toward the control of invasive nonnative species (INS) through a case study of Kings Bay/Crystal River, a large artesian springs ecosystem that is one of Florida’s most important habitats for endangered West Indian manatees ( Trichechus manatus ). Building upon recent critiques of invasion biology, principles of adaptive management, and our own interview and participant–observer research, we argue that this case study represents an example in which rigid application of (...) invasion biology’s a␣priori imperative to minimize INS has produced counterproductive results from both an ecological and social standpoint. As such, we recommend that INS control in Kings Bay should be relaxed in conjunction with an overall program of adaptive ecosystem management that includes meaningful participation and input from non-institutional stakeholders. However, we also note that adaptive management and INS control are by no means mutually exclusive, in Kings Bay or elsewhere. Instead, we suggest that adaptive management offers a means by which INS control efforts can emerge from—and be evaluated through—ongoing scientific research and participatory dialogue about the condition of specific places, rather than non-contextual assumptions about the harmfulness of INS as a general class. (shrink)
This paper analyzes Deborah Mayo's error-statistical (ES) account of scientific evidence in order to clarify the kinds of "material postulates" it requires and to explain how those assumptions function. A secondary aim is to explain and illustrate the importance of the security of an inference. After finding that, on the most straightforward reading of the ES account, it does not succeed in its stated aims, two remedies are considered: either relativize evidence claims or introduce stronger assumptions. The choice between these (...) approaches turns on the value attached to two aims of inquiry that are in tension: drawing strong, informative conclusions and reasoning securely. (shrink)
Dialectic, as commonly approached, is not an analytic study, as the notion is defined in the paper. Where it is analytically approached (as, for example, by Grice and Hamblin), the result is pragmatic in nature, as well as syntactic and semantic. This paper lays the foundations of a purely formal (nonpragmatic) analysis of conversations. This study is accordingly called "Conversation Theory". The key notions of "conversation", "dialogue", "conversation game", "rules of response", "epistemic community" and "channel of informations" are defined precisely, (...) and an analysis of how these notions fit together is given. Particular attention is given to distinguishing conversation theory from standard logic. The paper concludes by analysing a few sample conversation-games, indicating areas needing further research, by pointing out the simplification inherent in the sample games. (shrink)
This paper argues that intrinsically metaphorical leaps are required to interpret and utilize information acquired at the atomic scale. Accordingly, what we ‘see’ with our instruments in nanospace is both fundamentally like, and fundamentally unlike, nanospace itself; it involves both direct translation and also what Goodman termed “calculated category mistakes.” Similarly, and again necessarily, what we ‘do’ in nanospace can be treated as only metaphorically akin to what we do in our comfortable mesoworld. These conclusions indicate that future developments in (...) nanotechnology will rely, in part, on the creation of more sophisticated metaphorical codes linking our world to nanospace, and I propose some initial possibilities along these lines. (shrink)
The central claim is that the semantic knowledge exercised by people when they speak is practical knowledge. The relevant idea of practical knowledge is explicated, applied to the case of speaking, and connected with an idea of agents’ knowledge. Some defence of the claim is provided.
Clower, Jason: The Unlikely Buddhologist, Tiantai Buddhism in M ou Zongsan’s New Confucianism Content Type Journal Article Pages 1-4 DOI 10.1007/s11712-011-9261-y Authors Sébastien Billioud, Univ Paris Diderot, Sorbonne Paris Cité. UFR LCAO/East Asian Studies Department, Case 7009, 16 rue Marguerite Duras, 75205 Paris Cedex 13 Paris, France Journal Dao Online ISSN 1569-7274 Print ISSN 1540-3009.
Jason Peters (ed.): Wendell Berry: Life and Work Content Type Journal Article DOI 10.1007/s10806-010-9291-1 Authors Jacob Jones, Department of Religion, University of Florida, 107 Anderson Hall, P.O. Box 117410, Gainesville, FL 32611-7410, USA Journal Journal of Agricultural and Environmental Ethics Online ISSN 1573-322X Print ISSN 1187-7863.
Stanley’s insightful new book refines his earlier formulation of intellectualism. Indeed, it does a whole lot more, but leaves open some tough questions. He makes a powerful case for the view that knowing how to do something is to know, of a certain way, that one could do that thing in that way. But he says surprisingly little about what ways are, and how they might differ, depending on the kind of case. And he doesn't exclude the possibility that in (...) some cases what one knows in knowing-how is a way of doing something rather than a fact about a way of doing it. (shrink)
Jason Stanley's Know How aims to offer an attractive intellectualist analysis of knowledge how that is compositionally predicted by the best available treatments of sentences like 'Emile knows how to make his dad smile.' This paper explores one significant way in which Stanley's compositional treatment fails to generate his preferred account, and advocates a minimal solution.
Jason Stanley has argued that in order to obtain the desired readings of certain sentences, such as “In most of John’s classes, he fails exactly three Frenchmen”, we must suppose that each common noun is associated with a hidden indexical that may be either bound by a higher quantifier phrase or interpreted by the context. This paper shows that the desired readings can be obtained as well by interpreting nouns as expressing relations and without supposing that nouns are associated (...) with hidden indexicals. Stanley’s theory and the present alternative are not equivalent, however. They differ over the status of sentences such as “Every student is happy and some student is not happy”. On Stanley’s theory, this sentence will be true in some contexts, while on the present alternative it will be true in no context. Considerations in favor of the present theory’s verdict on such sentences are presented. The broader question at issue is the correct way to incorporate context-relativity into formal semantics. (shrink)
The latest newcomer on the epistemology scene is Subject-Sensitive Invariantism (SSI), which is the view that even though the semantics of the verb “know” is invariant, the answer to the question of whether someone knows something is sensitive to factors about that person. Factors about the context of the purported knower are relevant to whether he knows some proposition p or not. In this paper I present Jason Stanley's version of SSI, a theory Stanley calls Interest-Relative Invariantism (IRI). The (...) core epistemological claim of IRI is that knowledge is conceptually connected to practical interests. Stanley's defence of IRI is closely connected to practical reasoning, but unfortunately, I argue, IRI leads to bad practical reasoning. I furthermore show that Stanley's IRI cannot accommodate all of Stanley's five test cases for knowledge attribution, test cases that are supposed to (more or less) make or break theories of knowledge attribution. IRI also has some quite counterintuitive results and derives much of its appeal from one-sidedness of Stanley's examples. The net effect, I claim, is that IRI should be resisted. (shrink)
