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Record W2096837317 · doi:10.1177/10778010022182227

Men at Work to End Wife Abuse in Quebec

2000· article· en· W2096837317 on OpenAlexaboutno aff
Juergen Dankwort, Rudolf Rausch

Bibliographic record

VenueViolence Against Women · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsWifeWork (physics)CriminologyDomestic violenceSuicide preventionPoison controlIdentity (music)Human factors and ergonomicsPsychologySociologyGender studiesSocial psychologyPolitical scienceMedicineLawEngineeringMedical emergency

Abstract

fetched live from OpenAlex

Examining how men respond to the social problem of domestic violence may further our understanding of how woman abuse is defined and affected by the activities of groups making claims in relation to it. This article is a critical case study of how abusive men's programs in a Canadian province organized to advance their agenda for acceptance of an unprecedented men's network of generic services, based on men's identity politics. The authors note a continuing historical trend of individualizing woman abuse with this separate, uncoordinated development of resources for domestic violence perpetrators. Examining its implications, the authors conclude that homosocial men's projects must work in tandem with battered women's advocates and their resources, and include a number of principles in the politics of masculinities to guide them in their work.

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)0.001
metaresearch head score (Gemma)0.001
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.220

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.002
Scholarly communication0.0020.000
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.012
GPT teacher head0.278
Teacher spread0.267 · 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

Citations12
Published2000
Admission routes1
Has abstractyes

Explore more

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