1,720,965 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

    Suicidal Behavior, Language Acquisition, and Deafness: Evaluating the Potential Relationship Between Age of Language Acquisition and Prevalence of Suicidal Behavior in a Deaf Population with Co-Occurring Substance Use Disorder

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    Since 2008, the Deaf Off Drugs and Alcohol (DODA) Program has provided culturally appropriate cessation and recovery support services via e-therapy to Deaf/HH individuals with a clinically diagnosed substance use disorder (SUD). The information collected by the DODA program presented an opportunity to study the relationship between delayed language acquisition and suicidal ideation and attempts in a population that has historically been understudied, yet has increased prevalence in both suicidal behavior and significantly delayed language acquisition compared to the general population. Of the 107 prelingually Deaf consumers in the program, 18 reported language acquisition later than age ten. This study proposed that manifestations of this delay may contribute to known risk factors for suicidal behavior as well as adaptive communication in the form of suicidal gestures and parasuicide. As hypothesized, the lifetime prevalence of suicide attempts increased with substance use disorder or mental illness. Suicide attempts were also higher in this sample than studies suggest with comorbidity of substance use disorder and co-occurring mental illness. Each of these factors was amplified among those participants with significantly delayed language acquisition. Although caution should be exercised when comparing these results with the hearing population, they underscore the need for increased attention and further inquiry

    Prevalence of Suicide Attempts in a Deaf Population with Co-Occurring Substance Use Disorder

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    The Deaf Off Drugs & Alcohol (DODA) Program provides culturally appropriate recovery services via e-therapy to Deaf and hard of hearing (HH) individuals with substance use disorder (SUD). In the first three years DODA was providing services,149 consumers (107 Deaf, 42 HH) received treatment. A retrospective secondary data analysis sought to examine the lifetime prevalence of suicidal behavior in Deaf individuals receiving alcohol and drug treatment services from the DODA program. The prevalence of self-reported lifetime suicide attempts in the Deaf sample was 42.1%, higher than rates reported for other subgroups with coexisting conditions. Suicidal ideation was reported by 50.5% of Deaf consumers and by 65.1% of Deaf women. Variables significantly associated with suicide attempts included past mental health diagnosis. Possible explanations and future study are discussed

    Augmenting Back-Translation Decision Making with Latent Semantic Analysis: Predicting Expert Decisions with Semantic Similarity Scores from American Sign Language

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    This dissertation focused on a novel improvement to the current method for adapting assessments into American Sign Language (ASL). Bilingual Deaf adults participated in back translations across the United States, and those back-translation decisions were assessed by human experts to judge similarity in meaning. Translations were compared to original text samples using two types of Latent Semantic Analysis (LSA) models to compute semantic textual similarity (STS) scores, and to calculate weighted Youden Index (WYI) Scores. These scores were used to determine the ideal cutoff to be used when making judgments and compared to human expert decisions. The results revealed that WYI scores calculated using the Bidirectional Encoder Representations from Transformers (BERT) model performed best and effectively predicted expert decisions for 25% of items, thus substantially reducing the need for human review for many items. These results suggest that while there is great promise for using these methods to reduce cognitive load for back-translation tasks, there is still a crucial need for human attention in such tasks. This research points to the potential of machine learning for streamlining the creation of ASL assessments and increasing accessibility for the Deaf community. However, it also underscores the essential role of human experts in ensuring accuracy and cultural sensitivity. While future advancements in machine learning may one day replicate similar human capabilities, a combination of technology and skilled professionals remains crucial for bridging these communication gaps and providing equitable access to services for Deaf individuals

    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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