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Record W1484378083 · doi:10.26522/ssj.v7i1.1054

Governmentality and the Power of Transnational Women’s Movements

2012· article· en· W1484378083 on OpenAlexvenueno aff
Carol Harrington

Bibliographic record

VenueStudies in Social Justice · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicGender Politics and Representation
Canadian institutionsnot available
Fundersnot available
KeywordsGovernmentalitySociologyAgency (philosophy)PoliticsSocial movementPower (physics)Global politicsGender studiesEpistemologySocial sciencePolitical scienceLaw

Abstract

fetched live from OpenAlex

Feminists have celebrated success in gendering security discourse and practice since the end of the Cold War. Scholars have adapted theories of contentious politics to analyze how transnational feminist networks achieved this. I argue that such theories would be enhanced by richer conceptualizations of how transnational feminist networks produce and disseminate new forms of global governmental knowledge and expertise. This article engages social movement theory with theories of global governmentality. Governmentality analysis typically focuses upon governmental power rather than political contention or the collective agency of political outsiders. However, I argue that governmentality analysis contributes to an account of feminist influence on the fields of development and security within global politics. The governmentality lens views politics as a struggle over truth and expertise. Since experts have authority to speak the truth on a given issue, governmentality analysis seeks to uncover the social basis of expertise. Such analysis of expertise can illuminate important aspects of the power of movements. The power of transnational women’s movements lies in production and dissemination of knowledge about women within global knowledge networks.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.564
Threshold uncertainty score0.306

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.063
GPT teacher head0.399
Teacher spread0.336 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations6
Published2012
Admission routes1
Has abstractyes

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