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    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

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    Children's Interpretation of Sentences Containing Multiple Scalar Terms

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    Sentences containing the scalar term "some", such as "The pig carried some of his rocks", are usually interpreted as conveying the scalar inference that the pig did not carry all of his rocks. Previous research has reported that when interpreting such sentences, children tend to derive fewer of these scalar inferences than adults (Noveck (2001); Papafragou & Musolino (2003); Guasti et al. (2005), among others). One approach to explaining these results contends that children have difficulties accessing the alternative sentences involved in the derivation of such scalar inferences. This 'Alternatives-based' approach raises the possibility that children's performance may improve if certain scalar terms are presented together in the same sentence, for example, if a sentence contains both an existential quantifier and a universal quantifier, as in "Every pig carried some of his rocks". Such 'EverySome' sentences have been associated with the inference that not every pig carried all of his r..

    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used

    On children’s variable success with scalar inferences: Insights from disjunction in the scope of a universal quantifier

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    Previous developmental studies have revealed variation in children’s ability to compute scalar inferences. While children have been shown to struggle with standard scalar inferences (e.g., with scalar quantifiers like “some”) (Chierchia, Crain, Guasti, Gualmini, & Meroni, 2001; Guasti et al., 2005; Noveck, 2001; Papafragou & Musolino, 2003), there is also a growing handful of inferences that children have been reported to derive quite readily (Barner & Bachrach, 2010; Hochstein, Bale, Fox, & Barner, 2016; Papafragou & Musolino, 2003; Singh, Wexler, Astle-Rahim, Kamawar, & Fox, 2016; Stiller, Goodman, & Frank, 2015; Tieu, Romoli, Zhou, & Crain, 2016; Tieu et al., 2017). One recent approach, which we refer to as the Alternatives-based approach, attributes the variability in children’s performance to limitations in how children engage with the alternative sentences that are required to compute the relevant inferences. Specifically, if the alternative sentences can be generated by simplifying the assertion, rather than by lexically replacing one scalar term with another, children should be better able to compute the inference. In this paper, we investigated this prediction by assessing how children and adults interpret sentences that embed disjunction under a universal quantifier, such as “Every elephant caught a big butterfly or a small butterfly”. For adults, such sentences typically give rise to the distributive inference that some elephant caught a big butterfly and some elephant caught a small butterfly (Crnič, Chemla, & Fox, 2015; Fox, 2007; Gazdar, 1979). Another possible interpretation, though not one typically accessed by adults, is the conjunctive inference that every elephant caught a big butterfly and a small butterfly (Singh, Wexler, Astle-Rahim, Kamawar, & Fox, 2016). Crucially, for our purposes, it has been argued that both of these inferences can be derived using alternatives that are generated by deleting parts of the asserted sentence, rather than through lexical replacement, making these sentences an ideal test case for evaluating the predictions of the Alternatives-based approach. The findings of our experimental study reveal that children are indeed able to successfully compute this class of inferences, providing support for the Alternatives-based approach as a viable explanation of children’s variable success in computing scalar inferences
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