1,720,977 research outputs found
Black Mayors, White Majorities
Recent years have seen an increase in the number of African Americans elected to political office in cities where the majority of their constituents are not black. In the past, the leadership of black politicians was characterized as either “deracialized” or “racialized”—that is, as either focusing on politics that transcend race or as making black issues central to their agenda. Today many African American politicians elected to offices in non-majority-black cities are adopting a strategy that universalizes black interests as intrinsically relevant to the needs of their entire constituency.
In Black Mayors, White Majorities Ravi K. Perry explores the conditions in which black mayors of majority-white cities are able to represent black interests and whether blacks’ historically high expectations for black mayors are being realized. Perry uses Toledo and Dayton, Ohio, as case studies, and his analysis draws on interviews with mayors and other city officials, business leaders, and heads of civic organizations, in addition to official city and campaign documents and newspapers. Perry also analyzes mayoral speeches, the 2001 ward-level election results, and city demographics. Black Mayors, White Majoritiesencourages readers to think beyond the black-white dyad and instead to envision policies that can serve constituencies with the greatest needs as well as the general public
Going Beyond Counting First Authors in Author Co-citation Analysis
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
“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
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
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
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
Demographics and poverty spending attitudes in the Mississippi Poll: 2004-2014
The plight of the poor has played a role in America’s politics for decades. In the 1930’s, Franklin Roosevelt’s Democratic Party vowed to fight the Great Depression, and by implementing countless anti-poverty initiatives and agencies it won enormous favor with the public and ushered in a period of Democratic dominance. In modern politics, narratives surrounding the poor and programs designed to help them are utilized by Republicans and Democrats to further their party’s agenda. I examine the influence of various demographic factors on the attitudes of Mississippi residents towards spending by the government intended to alleviate poverty, using the Mississippi Poll’s results from the years 2004-2014 as my dataset and using cross-tabulation analyses to draw conclusions. I find that gender and religiosity are relatively weak predictors of poverty spending attitudes, while income, education, and age are stronger predictors, and race and party identification are very strong predictors
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