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    Supplementary_Materials_August_21st – Supplemental material for Personality and Social Capital

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    Supplemental material, Supplementary_Materials_August_21st for Personality and Social Capital by Marina Tulin, Bram Lancee and Beate Volker in Social Psychology Quarterly</p

    GINI DP 20: Does Income Inequality Negatively Affect General Trust? Examining three potential problems with the inequality-trust hypothesis

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    Many studies on the consequences of income inequality find that where inequality is high, trust is low. There are, however, reasons to examine the relation between inequality and trust more closely. First, previous research does not differentiate between the effect of income inequality and that of national wealth. Furthermore, the underlying mechanism is often unclear. Finally, the association might be dependent on non-Western countries where income inequality is extremely high. In this paper, we evaluate whether there is a relation between income inequality and trust in a sample of Western developed economies when taking into account national wealth. Theoretically, we distinguish between stratification effects and perception effects of inequality. Empirically, besides actual income inequality and national wealth, we include a measurement of perceived inequality on the basis of individual level earnings estimations for stereotypical jobs. We find no significant effect of inequality on trust when taking into account national wealth, suggesting that in Western countries the amount of resources rather than its distribution explains trust. Key words: trust, income inequality, perceived inequality, national wealth, comparative research.

    Die Auswirkungen von Einwanderungspolitik auf den sozialen Zusammenhalt in europäischen Ländern

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    Kumulative Dissertation, Otto-Friedrich-Universität Bamberg, 2024In the context of increasing immigration, immigration policy has come to be seen by policymakers as a political instrument to influence social cohesion. Restrictions on immigration are seen as necessary to maintain a shared set of cultural values and practices in a society, and thus as a precondition for social cohesion in terms of a society’s social and political connectedness. First, it is often believed that bringing immigration policy more in line with public demands for restrictions would increase citizens’ political connectedness. Second, it is often assumed that restrictions would limit immigration to groups of immigrants who are more skilled and culturally more similar to the host society and, therefore, more socially and politically connected. This dissertation sought to challenge these prominent assumptions about immigration policy, by bringing them together as two modes through which policymakers seek to influence social cohesion through immigration policy-making. The aim of this dissertation was to outline and empirically test theoretical mechanisms (‘composition effects’ and ‘policy congruence effects’) through which immigration policies impact social cohesion (by affecting the population as a whole and immigrants), and to make statements about the magnitude and conditions of the effects. The results of this dissertation show that the effects of immigration policies on social cohesion do not live up to the high expectations of politicians and the public

    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

    Social capital and labor‐market outcomes for immigrants

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    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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