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Record W2020431506 · doi:10.1177/089124301015004002

BEYOND CULTURE VERSUS POLITICS

2001· article· en· W2020431506 on OpenAlexaff
Suzanne Staggenborg

Bibliographic record

VenueGender & Society · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Cultural Dynamics
Canadian institutionsMcGill University
Fundersnot available
KeywordsPoliticsAttractivenessCollective actionCountermovementFeminismPolitical cultureAction (physics)SociologyPolitical economyPolitical actionSocial movementPolitical scienceGender studiesLawPsychology

Abstract

fetched live from OpenAlex

This article goes beyond the debate over whether culture competes with politics in the women's movement to explore the complex relationship between cultural and political action. A case study of the local women's movement in Bloomington, Indiana, provides little evidence that cultural feminism led to a decline in political activity in the women's movement. Rather, the attractiveness of cultural and political activities changes with shifts in political opportunities. During periods of opportunity or threat that stimulate extensive action, activists are energized for both cultural and political projects. During “slow” periods when there are few opportunities to make political gains, cultural projects are particularly attractive to feminists and may compete with political activities. However, cultural activities also help to maintain a feminist collective identity and provide networks to political groups. Ongoing political action is provoked by countermovement actions and other critical events and supported by “outsiders” who bring new ideas to a local community, national feminist organizations, and feminists within local institutions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0060.028
Scholarly communication0.0100.013
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0100.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.050
GPT teacher head0.325
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations56
Published2001
Admission routes1
Has abstractyes

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