1,721,353 research outputs found

    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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    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

    La scelta delle dimensioni per l’analisi del benessere e della povertà

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    Negli ultimi decenni è stata registrata un’importante evoluzione nelle discipline che studiano, concettualizzano e misurano il benessere e la povertà in un’ottica multidimensionale. Per definire tali variabili utilizzeremo le coordinate dello Sviluppo Umano e Sostenibile e dell’Approccio delle Capabilities descritte nei capitoli precedenti del libro. La povertà, ad esempio, viene definita nell’ambito di questo approccio come una deprivazione di Capabilities di base e funzionamenti acquisiti. L’obiettivo di questo capitolo, una volta definito il concetto di sviluppo, è la valorizzazione delle dimensioni la cui scelta diviene fondamentale nella misurazione multidimensionale del progresso, del benessere e della povertà. Nel secondo paragrafo viene introdotto il concetto di dimensioni del benessere e della povertà, presentando due procedure utilizzate per selezionare le dimensioni rilevanti con l’Approccio delle Capabilities. In seguito, verrà utilizzata una lista provvisoria di Capabilities dei bambini formulata da Biggeri e Mehrotra (2011) per esplorare e comparare pratiche differenti tra i ricercatori. Nel terzo paragrafo sono presentati i metodi generalmente utilizzati per scegliere e selezionare dimensioni/domini negli studi sul benessere e la povertà. A titolo di esempio, considereremo la loro rilevanza pratica per i bambini, e analizzeremo i principali punti di forza e debolezza di ogni procedimento. Dove possibile, compareremo i domini selezionati con diverse tecniche. Nell’ultima sezione riporteremo alcune conclusioni e implicazioni per la ricerca

    Modelling Trust in Human-AI Interaction: Doctoral Consortium

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    Trust is an important element of any interaction, but especially when we are interacting with a piece of technology which does not think like we do. Therefore, AI systems need to understand how humans trust them, and what to do to promote appropriate trust. The aim of this research is to study trust through both a formal and social lens. We will be working on formal models of trust, but with a focus on the social nature of trust in order to represent how humans trust AI. We will then employ methods from human computer interaction research to study if these models work in practice, and what would eventually be necessary for systems to elicit appropriate levels of trust from their users. The context of this research will be AI agents which interact with their users to offer personal support
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