1,721,016 research outputs found

    The simulation argument: Reply to Weatherson

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    I reply to some recent comments by Brian Weatherson on my 'simulation argument'. I clarify some interpretational matters, and address issues relating to epistemological externalism, the difference from traditional brain-in-a-vat arguments, and a challenge based on 'grue'-like predicates. © The Editors of The Philosophical Quarterly, 2005

    Knowledge: A Human Interest Story (PDF)

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    In this book the author argues for a groundbreaking perspective that knowledge is inherently interest-relative. This means that what one knows is influenced not just by belief, evidence, and truth, but crucially by the purposes those beliefs serve. Drawing from classical Nyāya epistemologies, the book asserts that knowledge rationalizes action: if you know something, it is sensible to act on it—and the best way to square this with an anti-sceptical epistemology is to say that knowledge is interest-relative. While versions of this view have been debated, they haven’t gained wide acceptance. The author addresses common objections with a refined formulation and explores how this perspective elucidates the role of knowledge in inquiry, daily life, and the history of thought. Key distinctions include the impact of “long odds” situations on knowledge, the distinctive role knowledge has a starting point for inquiry, and the importance of using non-ideal models in theorising about knowledge. Building on decades of scholarship, the author offers a cohesive theory that integrates and clarifies previous works, demonstrating that not only knowledge but also belief, rational belief, and evidence are interest-relative. This book is essential for those seeking a deeper understanding of the intricate relationship between knowledge and practical interests

    Morality, Fiction, and Possibility

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    Authors have a lot of leeway with regard to what they can make true in their story. In general, if the author says that p is true in the fiction we're reading, we believe that p is true in that fiction. And if we're playing along with the fictional game, we imagine that, along with everything else in the story, p is true. But there are exceptions to these general principles. Many authors, most notably Kendall Walton and Tamar Szabó Gendler, have discussed apparent counterexamples when p is "morally deviant". Many other statements that are conceptually impossible also seem to be counterexamples. In this paper I do four things. I survey the range of counterexamples, or at least putative counterexamples, to the principles. Then I look to explanations of the counterexamples. I argue, following Gendler, that the explanation cannot simply be that morally deviant claims are impossible. I argue that the distinctive attitudes we have towards moral propositions cannot explain the counterexamples, since some of the examples don't involve moral concepts. And I put forward a proposed explanation that turns on the role of 'higher-level concepts', concepts that if they are satisfied are satisfied in virtue of more fundamental facts about the world, in fiction, and in imagination

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Author Index

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