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Record W2098303911 · doi:10.1177/1557085107311067

Men's Rights and Feminist Advocacy in Canadian Domestic Violence Policy Arenas

2007· article· en· W2098303911 on OpenAlexaffabout
Ruth M. Mann

Bibliographic record

VenueFeminist Criminology · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsContext (archaeology)Domestic violenceBacklashPoliticsGovernment (linguistics)Political scienceSociologyPoison controlCorporate governanceFeminismHuman rightsCriminologySuicide preventionGender studiesLaw

Abstract

fetched live from OpenAlex

This article examines government and advocacy group texts on three recent Canadian domestic violence policy moments. Drawing on governance, feminist poststructuralist, and social movement perspectives, it examines men's rights advocates' and feminists' discursive actions and their influence on officials. The research aim is to explore the provisional, intrinsically incomplete, and indeed questionable success, to date, of Canadian anti-domestic violence advocates' strategies and tactics of resisting men's advocates' efforts to delegitimize gendered constructions of domestic violence. At the level of political action, the article contributes to efforts by feminists internationally to safeguard protections and supports for abused women and children in a political context marked by the increasingly prominent influence of men's rights and associated antiprogressive backlash.

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)0.009
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.189
Threshold uncertainty score0.941

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.004
Science and technology studies0.0420.045
Scholarly communication0.0110.003
Open science0.0020.005
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0060.000

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 head0.034
GPT teacher head0.353
Teacher spread0.319 · 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 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

Citations44
Published2007
Admission routes2
Has abstractyes

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