1,720,954 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Ethnicity Matters: Correcting Cultural Bias in Social Models
Get PDFEthnicity Matters: Correcting Cultural Bias in Social ModelsThis study examines the determinants of domestic violence (DV—physical or sexual) against women in Pakistan using nationally representative data from the 2017–18 Pakistan Demographic and Health Survey (PDHS). We estimate survey-adjusted logistic regression models, reporting logit coefficients, odds ratios, and marginal effects, to assess the influence of intergenerational, marital, demographic, and socioeconomic factors, and test whether excluding ethnicity biases results.
Findings show that intergenerational transmission is a powerful driver: women whose fathers beat their mothers face more than double the odds of experiencing DV (OR = 2.39, marginal effect +12 pp, p<0.01). Marital dynamics are equally critical. Husband’s alcohol consumption (OR = 3.96, +19 pp) and women’s fear of their husbands (OR = 5.11, +23 pp) emerge as the strongest correlates of DV. Polygamy increases the odds substantially (OR ≈ 3.50), although estimates are less precise. Household structure also matters—each additional child increases DV risk (OR = 1.16, +2 pp).
Socioeconomic variables show weaker and less consistent effects. Wife’s and husband’s education, as well as consanguinity, are not robust predictors. However, household wealth displays a protective gradient: women in the richest quintile face significantly lower odds of DV (OR = 0.60, marginal effect –7 pp, p<0.1).
Model comparison confirms that ethnicity is jointly significant (Wald test, p<0.01) and improves model fit. Relative to Urdu-speaking women, Sindhi (OR = 0.41, –12 pp), Pashto (OR = 0.46, –11 pp), Brahui (OR = 0.24, –18 pp), Hindko (OR = 0.28, –16 pp), and Marwari (OR = 0.19, –19 pp) women report substantially lower odds of DV, underscoring the role of cultural norms and community structures.
Overall, the results highlight that excluding ethnicity biases estimated effects and conceals heterogeneity across groups. Policy interventions must therefore combine universal protections with culturally tailored strategies that recognize ethnic variation in women’s vulnerability and reporting of domestic violence
Ethnicity Matters: Correcting Cultural Bias in Social Models
No full textEthnicity Matters: Correcting Cultural Bias in Social ModelsThis study examines the determinants of domestic violence (DV—physical or sexual) against women in Pakistan using nationally representative data from the 2017–18 Pakistan Demographic and Health Survey (PDHS). We estimate survey-adjusted logistic regression models, reporting logit coefficients, odds ratios, and marginal effects, to assess the influence of intergenerational, marital, demographic, and socioeconomic factors, and test whether excluding ethnicity biases results.
Findings show that intergenerational transmission is a powerful driver: women whose fathers beat their mothers face more than double the odds of experiencing DV (OR = 2.39, marginal effect +12 pp, p<0.01). Marital dynamics are equally critical. Husband’s alcohol consumption (OR = 3.96, +19 pp) and women’s fear of their husbands (OR = 5.11, +23 pp) emerge as the strongest correlates of DV. Polygamy increases the odds substantially (OR ≈ 3.50), although estimates are less precise. Household structure also matters—each additional child increases DV risk (OR = 1.16, +2 pp).
Socioeconomic variables show weaker and less consistent effects. Wife’s and husband’s education, as well as consanguinity, are not robust predictors. However, household wealth displays a protective gradient: women in the richest quintile face significantly lower odds of DV (OR = 0.60, marginal effect –7 pp, p<0.1).
Model comparison confirms that ethnicity is jointly significant (Wald test, p<0.01) and improves model fit. Relative to Urdu-speaking women, Sindhi (OR = 0.41, –12 pp), Pashto (OR = 0.46, –11 pp), Brahui (OR = 0.24, –18 pp), Hindko (OR = 0.28, –16 pp), and Marwari (OR = 0.19, –19 pp) women report substantially lower odds of DV, underscoring the role of cultural norms and community structures.
Overall, the results highlight that excluding ethnicity biases estimated effects and conceals heterogeneity across groups. Policy interventions must therefore combine universal protections with culturally tailored strategies that recognize ethnic variation in women’s vulnerability and reporting of domestic violence
Variations on the Author
Get PDF“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
Get PDFWe 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
Get PDFWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe 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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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