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Making Democracy Work: Civic Traditions In Modern Italy

Putnam, +1 more
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The article was published on 1993-01-01 and is currently open access. It has received 14679 citations till now. The article focuses on the topics: Democracy & Work (electrical).

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The evolution of structural embeddedness and organizational social outcomes in a centrally governed health and human services network

TL;DR: In this paper, the authors examined the effects of network embeddedness on three organizationally based social outcomes, including trustworthiness, reputation, and influence, over time in a centralized, publicly funded but mixed sector health and human services network.
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The dramaturgy of horizons: geographical scale in the ‘Reconstruction of Italy’ by the new Italian political parties, 1992–1995

TL;DR: The Italian case illustrates a more general point, that political parties must organize themselves and their ideologies through the ways they divide, order, and organize space as mentioned in this paper, even when all parties structure space in the same ways.
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The Association Between Income Inequality and Mental Health: Testing Status Anxiety, Social Capital, and Neo-Materialist Explanations

TL;DR: In this article, the authors describe three hypotheses that have emerged in the literature to explain the association between absolute income, health and mortality weakens, and the distribution of income across a society becomes more important as a determinant of a range of outcomes including average mental and physical health.
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Procedural Fairness and Compliance with the Law

TL;DR: In this article, it is shown that it is difficult to enforce the law using only the threat of punishment, and that compliance with the law is linked to judgments about the legitimacy of authorities and the morality of the law.
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Social and political forces as determinants of poverty: A spatial analysis

TL;DR: In this article, the structural determinants of poverty in the US were investigated by analyzing an expanded set of determinants, namely factors related to economic, social, and political influence using spatial data analysis techniques.