1,721,090 research outputs found
Bernard Giovingo, Larry Seabrook, Robert Kelly, Unidentified Male Individual, John Niblett, Bill Stone, Tom Moore, Butch Wilson, Kelly Hooper, James Swords and Terry Harris, 1966-1967 Football Players
No full textBernard Giovingo, Larry Seabrook, Robert Kelly, an unidentified male, John Niblett, Bill Stone, Tom Moore, Butch Wilson, Kelly Hooper, James Swords and Terry Harris were Jacksonville State College (now Jacksonville State University) students and football players in the mid-1960s. Here they are shown posing in two lines, listed back left to front right, wearing practice jerseys.https://digitalcommons.jsu.edu/lib-ac-histimg/9975/thumbnail.jp
Randy Perry, Larry Seabrook, Robert Kelly, Butch Davis, John Niblett, Bill Edumndson, Tom Moore, Butch Wilson, Kelly Hooper, James Swords and E.J. Smith, 1966-1967 Football Players
No full textRandy Perry, Larry Seabrook, Robert Kelly, Butch Davis, John Niblett, Bill Edumndson, Tom Moore, Butch Wilson, Kelly Hooper, James Swords and E.J. Smith were Jacksonville State College (now Jacksonville State University) students and football players in the mid-1960s. Here they are shown in white practice attire posed in two lines, listed back left to front right.https://digitalcommons.jsu.edu/lib-ac-histimg/9934/thumbnail.jp
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
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
Supportive supervisors improve employees' daily lives: The role supervisors play in the impact of daily workload on life satisfaction via work–family conflict
No full textThis article presents a multilevel approach that uncovers how day-to-day variations in workload influence life satisfaction by creating work–family conflict, as well as the role supportive supervisors play in influencing these daily relationships. In this experience-sampling study, 135 employees responded to 2 daily surveys (one at work and one at home) for 5 days and a one-time post study survey. With a total of 810 surveys, hierarchical linear modeling revealed that employees' daily perceived workload positively predicted daily work–family conflict, which in turn negatively predicted daily life satisfaction. Importantly, we found support for a cross-level interaction where supervisor work–family specific support (measured once in the post-study survey) negatively moderated the relationship between daily workload and work–family conflict, attesting the importance of supervisory support in reducing daily interference between work and family
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