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    The tension between democracy and populism:An empirical test of Canovan's claims of the two faces of democracy

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    This study provides a first empirical test of Margaret Canovan's influential argument on the relationship between democracy and populism, which posits that populism emerges as a consequence of the unresolved conflict between the pragmatic and redemptive faces of democracy. Despite its impact on scholars of populism, the implications of her framework remain untested. Using data from the EVS/WVS Integrated Values Surveys, we test Canovan's claims about the effect of 'pragmatic politics' on support for populist parties, operationalized as consensual democracies, economic and political globalization, and checks on government. Our analyses predominantly reveal no significant effects, and where significant results are observed, they indicate directions contrary to Canovan's claims, thus providing no empirical support for her claims. These results challenge long-standing assumptions about the relationship between populism and democracy, urging scholars to reevaluate existing assumptions and explore this intricate connection further. We conclude by suggesting some directions for future research to deepen our understanding of populism

    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

    "Closing the R&D Gap, Evaluating the Sources of R&D Spending"

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    Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.

    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
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