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Central Russian Journal of Social Sciences
Article . 2014
Data sources: CyberLeninka - Russian open access scientific library
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Потенциал классических социологических теорий в исследовании социального партнерства государства и гражданского общества. 29

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2014 Russian Publisher:Федеральное государственное бюджетное образовательное учреждение высшего образования «Российская академия народного хозяйства и государственной службы при Президенте Российской Федерации»Journal:Среднерусский вестник общественных наук (issn: 2071-2367, Copyright policy )

Потенциал классических социологических теорий в исследовании социального партнерства государства и гражданского общества. 29

Abstract

Автор указывает на характерные особенности современного исследования института межсекторного социального партнерства. В статье выявляется эвристический потенциал классических социологических теорий в исследовании социального партнерства государства и гражданского общества. На их основе автор дает определение социальному партнерству с позиций системного и институционального подхода.

The author points out specific features of contemporary research of the cross-sector social partnership. The article explores the heuristic potential of classical sociological theories in the study of social partnership between state and civil society. Using this theoretical base, the author defines social partnership within the framework of system and institutional approach.

Keywords

СОЦИАЛЬНОЕ ПАРТНЕРСТВО, ГОСУДАРСТВО, ГРАЖДАНСКОЕ ОБЩЕСТВО, КЛАССИЧЕСКИЕ СОЦИОЛОГИЧЕСКИЕ ТЕОРИИ, Э. ДЮРКГЕЙМ, E. DURKHEIM, М. ВЕБЕР, M. WEBER, Т. ПАРСОНС, T. PARSONS, Г. ЗИММЕЛЬ, G. SIMMEL, Б. СКИННЕР, B. SKINNER, ДЖ. ХОМАНС, G. HOMANS, П. БЛАУ, P. BLAU, Ю. ХАБЕРМАС, J. HABERMAS

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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