1,721,082 research outputs found

    Model-based consensus

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    The aim of the rational-consensus method is to produce “rational consensus”, that is, “mathematical aggregation”, by weighing the performance of each expert on the basis of his or her knowledge and ability to judge relevant uncertainties. The measurement of the performance of the experts is based on the expert’s assessment of “seed variables”. These performances are used to determine the weights of the expert’s judgments in the aggregation of them. The disadvantage of the rational-consensus method in social science is the lack of agreed upon seed variables, and that it does not instead use the shared knowledge captured by models. Moreover, there seems to be sufficient evidence that combining models with expert judgments leads to better judgments. This is even more evident with respect to forecasts

    Introduction: Experts and Consensus in Social Science

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    The ideals of science as objectivity and consensus are - unsurprisingly - not so easy to attain in scientific practice. Science is ultimately a product of individual scientists with their own personal backgrounds and experiences, and there is no unique methodology to de-personalize and objectify knowledge. Social scientists, in particular, use a variety of tools for their investigations: They gather evidence from different sources, under different conditions and with different instruments. They are both the locus where different sources of evidence aggregate and also a direct source of evidence that comes in as intuitions and background knowledge. Acknowledging this wide variety of sources of evidence and methods in social science, different kinds of methodologies for reaching consensus have been developed. What kind of consensus is indicative of good science? What are the rules for consensus formation? And, is there a normative aspect to the formation of scientific and policy making consensus? TThe contributions of this book focus on experts: those institutional figures that act as a liaison between science and policy makers, politicians, governments, and other public domains

    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
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