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    Replication Data for: Gender and Gridlock

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    Contains dataset for Gender and Fiscal Gridlock in the American State

    Replication Data for: Gender and Gridlock

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    Contains dataset for Gender and Fiscal Gridlock in the American State

    Replication Data for: All Politics May Not Be Local – The Nationalization of the 2018 United States State Legislative Elections

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    Replication data for "All Politics May Not Be Local – The Nationalization of the 2018 United States State Legislative Elections

    Replication Data for: All Politics May Not Be Local – The Nationalization of the 2018 United States State Legislative Elections

    No full text
    Replication data for "All Politics May Not Be Local – The Nationalization of the 2018 United States State Legislative Elections

    INSTITUTIONAL CAPACITY IN THE AMERICAN STATES

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    In a separation of powers system, delicately calibrated to defend against the destabilizing effect of concentrating power in any one branch, why then does each branch seek to increase its level of power relative to the other branches? The answer to this question lies in our understanding of these institutional powers, the formal and informal tools either unilaterally controlled or shared with the other independent branches of government, which constitute what is known as institutional capacity. However, institutional capacity is a complex, multidimensional concept, which is not easily observed nor easily understood (e.g. Gargan 1981). My dissertation focuses on exploring the concept of institutional capacity within three salient American state government topics, to show that institutional capacity affords political actors the ability to pursue their various electoral, institutional, and policy goals, and thus each branch endeavors to increase its level of capacity relative to the other branches. The high level of variation across political institutions in the American states provides varying degrees of institutional power sharing and power dominance which offer important implications for our broader understanding of democratic theory a separation of powers as expressed by Madison. I show that the ability of political actors in the American states is constrained by the historical changes in the institutional capacity of both governors and state legislatures, and despite the historical dominance of governors in the policy-making and budgetary arena, state legislatures possess the capacity to undermine governors under certain conditions, particularly in budgetary realms and under periods of divided partisan control of the state government. These findings offer support for the professionalism movement in the American states which drove much of this institutional change and altered the (im)balance of power between the branches, and echo the claim that it is easy to “invent a government and devise a strong executive” yet it is much harder “to devise a strong legislature that can survive transfers of power and shifts of party control” (Loftus 1994: 63)

    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
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