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Cited by 401

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

Revolutions within: self-government and self-esteem

Cruikshank, Barbara·1993·Economy and Society

Abstract

This paper is about the relationship between power and subjectivity in a democracy, about the lines between subjectivity and subjection, democracy and despotism. The ability of the democratic citizen to generate a politically able self depends upon technologies of subjectivity which link personal goals and desires to social order and stability, which link power an subjectivity. I begin with the contemporary self-esteem movement spearheaded by feminist Gloria Steinem and California legislator John Vasconcellos to show that programs which attempt to enhance the subjectivity of women and the poor-strategies of empowerment, self-help, and democratic participation - are also practical techniques for the subjection of individuals. I go on to outline a history of the present ‘state of esteem’ beginning with the work of Alexis de Tocqueville. I locate the emergence of democratic self-governance in the advent of the social as a sphere of governability and expertise.

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Crossref · 10.1080/03085149300000022

Cites

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Metadata

Authors
Cruikshank, B.
Venue
Economy and Society
Published
1993-08
Volume
22
Issue
3
Pages
327-344
ISSN
  • 0308-5147 (ISSN-L)
  • 1469-5766
OpenAlex
W2110659628
Cited by
401
References
19
FWCI
9.98
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Revolutions within: self-government and self-esteem. https://app.cochat.ai/papers/10.1080/03085149300000022
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Cruikshank, B. (1993). Revolutions within: self-government and self-esteem. Economy and Society. https://doi.org/10.1080/03085149300000022

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.