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    Replication Data for: An Outsider View of Ideology Inside the Classroom

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    Over the last century, Americans repeatedly revisited concerns over university classroom ideology, yet the ideological skew has accelerated, arguably both because of and ironically contradicting diversity arguments so many insiders propound, if diversity includes differing perspectives, not just differing demography. This dataset includes: 1. Figure 1: A compilation of a host of studies with admittedly heterogeneous data on the degree to which academics – and social scientists, psychologists/social psychologists, and political scientists in particular – self-identify as “left,” “liberal,” or “Democrats" (Hamilton and Hargens, 1993; Engle, 2002; Rothman et al. 2005; Tobin et al., 2005; Tobin and Weinberg, 2006; Zipp and Fenwick, 2006; Gross and Simmons, 2007; Klein and Stern, 2009a; Haidt, 2016; Ingraham, 2016), which together paint a picture of a longtime leftward lean from the mid-1950s to mid-1980s, followed by an accelerating leftward lurch from the mid-1980s to 2018; and 2. Figure 2: The results of a series of searches of the APSA eJobs Online database for a basket of terms intended to capture inclusion (Inclusion, Identity, Equity) and diversity (Diversity, Race, Gender, Sex, and Women); traditionally nonpartisan American ideals (Freedom, Liberty, Speech, Constitution); America’s component parts of government (President, Congress, Judiciary), and America’s two main ideological and partisan pairs (Liberal/Conservative, Democrat/Republican), which suggest that current opportunities to get inside the political science classroom abound for New Left or what Donaido called multiculturalists, and are relatively scarce not just for Republicans and conservatives, or even those who teach about ideals like liberty, freedom and tolerance of speech, but for specialists in three key governmental institutions and the U.S. Constitution as well

    Replication Data for: An Outsider View of Ideology Inside the Classroom

    No full text
    Over the last century, Americans repeatedly revisited concerns over university classroom ideology, yet the ideological skew has accelerated, arguably both because of and ironically contradicting diversity arguments so many insiders propound, if diversity includes differing perspectives, not just differing demography. This dataset includes: 1. Figure 1: A compilation of a host of studies with admittedly heterogeneous data on the degree to which academics – and social scientists, psychologists/social psychologists, and political scientists in particular – self-identify as “left,” “liberal,” or “Democrats" (Hamilton and Hargens, 1993; Engle, 2002; Rothman et al. 2005; Tobin et al., 2005; Tobin and Weinberg, 2006; Zipp and Fenwick, 2006; Gross and Simmons, 2007; Klein and Stern, 2009a; Haidt, 2016; Ingraham, 2016), which together paint a picture of a longtime leftward lean from the mid-1950s to mid-1980s, followed by an accelerating leftward lurch from the mid-1980s to 2018; and 2. Figure 2: The results of a series of searches of the APSA eJobs Online database for a basket of terms intended to capture inclusion (Inclusion, Identity, Equity) and diversity (Diversity, Race, Gender, Sex, and Women); traditionally nonpartisan American ideals (Freedom, Liberty, Speech, Constitution); America’s component parts of government (President, Congress, Judiciary), and America’s two main ideological and partisan pairs (Liberal/Conservative, Democrat/Republican), which suggest that current opportunities to get inside the political science classroom abound for New Left or what Donaido called multiculturalists, and are relatively scarce not just for Republicans and conservatives, or even those who teach about ideals like liberty, freedom and tolerance of speech, but for specialists in three key governmental institutions and the U.S. Constitution as well

    Replication Data for: Does Diversity-Driven Hiring Decrease Ideological Diversity?

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    Abstract This study presents a meta-analysis of research into academics’ ideological self-identification from 1955-2018, focusing on political scientists, social scientists, historians, and social/political psychologists. It suggests that from 1955 to about 1989, fewer than 50% of these academics self-identified as liberal, Left, or Democratic, but thereafter that percentage increased rapidly to as high as 89.3%. The study further explores whether diversity-driven hiring helps explain this decrease in ideological diversity. First, it examines whether more political scientists from demographics that lean left may in part account for the change. Second, it presents evidence the political science profession may signal a preferred ideology by explicitly favoring candidates who embrace racial, ethnic and sex diversity in particular, rather than e.g. ideological, partisan, methodological, socio-economic, class, religious, age, or geographic diversity. Third, the paper asks whether those hiring political scientists on average set diversity above other values, presenting new data drawn from the American Political Science Association (APSA) eJobs database. These data suggest hiring of political science educators now focuses more on a particular conception of diversity and the ideology underlying it than on liberal values or institutional expertise. Specifically, as of February 2019, an APSA job listing was about 100 times as likely to mention Race or Gender than Speech or the Judiciary, and about 200 times as likely to mention Diversity as Liberty. Together these results suggest that the political predilections of those emphasizing one conception of diversity over others may be driving political science education left, thereby decreasing ideological diversity. Dataset Contents Appendix A: Fig. 1. % of All Faculty (A), Social Scientists (S), Political Scientists (P), Psychologists and Social Psychologists (Y), or Historians (H) self-identifying as liberal, left (including far left), or Democratic, 1955-2018 Appendix B: Fig. 2. % of APSA eJobs listings with term, February 16, 201

    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

    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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