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Record W2122018508

Women's Movements and State Feminism: Integrating Diversity into Public Policy

2001· book· en· W2122018508 on OpenAlexaboutno aff
L. Pauline Rankin, Jill Vickers, Ann-Marie Field

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicGender Politics and Representation
Canadian institutionsnot available
Fundersnot available
KeywordsFeminismDiversity (politics)RestructuringState (computer science)Political sciencePublic policyGlobalizationPublic administrationGender studiesSociologyLaw
DOInot available

Abstract

fetched live from OpenAlex

This study examines the relationship between women’s movements and state feminism in order to explore the opportunities and constraints for integrating diversity questions into public policy making. The research is based on a comparative analysis of women’s policy machinery in Canada and Australia and focusses on the capacity of state feminist institutions to facilitate interaction between women’s movements and the state in support of successful policy interventions around diversity issues. Case studies in the area of anti-violence struggles are presented from Quebec, New South Wales, Western Australia and South Australia. In an era marked by globalization that has contributed to the dramatic restructuring of state institutions, the report concludes that women’s policy machinery can be an important site for integrating diversity questions into policy debates, provided effective linkages between feminists and state feminist institutions are in place.

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)0.005
metaresearch head score (Gemma)0.004
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: Other · Consensus signal: Other
Teacher disagreement score0.033
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.034
Scholarly communication0.0080.007
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.047
GPT teacher head0.318
Teacher spread0.272 · 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
GenreOther

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

Citations38
Published2001
Admission routes1
Has abstractyes

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