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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

    Corpus Categories: What and for whom? When special corpora meet general corpora in comparative studies in literature

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    Fiction is inherently messy to work with. Not due to the material itself, but rather due to the field thatsurrounds it and the needs of different theoretical approaches to the reading of the materials. In thedecades since Leech &amp; Short’s Style in Fiction (1981) the intersection between linguistics and literaturehas continued to develop. Mahlberg (2007) has made excellent descriptions of how the relationshipbetween corpus linguistics and literary theory can be approached and the framework needed tosuccessfully make use of our methodological resources within the field of literature. Biber (2011)provides interesting examples of different ways corpora have been used in the study of literature andshows how methods such as keyword analysis, n-grams, and collocations have been at the centerstage. However, the use of large corpora for comparative studies within literature remainsproblematic, as these corpora were rarely constructed for this purpose.Special corpora, defined by Tognini Bonelli (2012) as a corpus where the selection is not made to berepresentative of a language but of a specific use-case, play an important role here as literaturecorpora are often designed to be representative of an author, a period, or a genre. This makes thecategorization procedures very different from the procedures used in general corpora. Whilecategorization in large corpora may make use of broad text type categorizations in combination withtemporal and spatial categorization, as in the BNC and the COHA/COCA, special corpora are ofteninterested in other category tags. The temporal and spatial categorization of texts along with the texttype becomes central for comparative studies of literature, for instance, a single American author offiction active during the 1920s to the 1960s being contrasted with American fiction written during the1920s to 1960s (as in Sundberg &amp; Nilsson forthcoming).As the interpretation of data begins, further questions regarding the categorizations arise, often todo with genre and style, and one must consider whether our American author active during the 1920sto 1960s was a modernist, if they wrote autobiographically, which genre conventions they adhered toand so forth. Comparing this author to any material matching the temporal and spatial categorizationwhile tagged as “fiction” becomes problematic, especially when presenting to an audience who ismainly engaged with those other aspects of the author’s work rather than the "when and where", forinstance at a literary conference (Sundberg 2018, 2019). Categorization within corpora is a wellresearched topic which has produced multiple excellent methods of approach, for instance usingkeywords (Özgür, Özgür &amp; Güngör 2005), named-entity recognition (Sahin et. al 2017) or machinelearning (Fabrizio 2002), but these are of limited use when the desired categorizations are based onfeatures not directly tied to the language itself.As this intersection becomes more popular, the need for a discussion on how these uses of corporaas contrastive, or comparative, resources beyond language variants and variation becomes important.How could this new arena influence our categorization habits, and what are the consequences ofdeeper categorization of fictional texts?</p

    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

    A Corpus Stylistic Analysis of Development in Hemingway\u27s Literary Production

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    This article describes an attempt at introducing the quantitative perspective available through corpus stylistics into the discussion regarding Hemingway\u27s linguistic development throughout his career. By building a corpus of Hemingway\u27s fiction, previous statements and research into the author\u27s style are explored through part-of-speech tagging and diachronic presentations of data regarding word class distributions, sentence lengths and lexical density. This method combines literary theory with contemporary advances in digital humanities to offer a nuanced investigation of underlying text patterns that are otherwise frequently overlooked

    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
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