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Record W1935586951 · doi:10.7202/1032552ar

Ressources mobilisées par des femmes arabo-musulmanes victimes de violence conjugale en contexte migratoire

2015· article· fr· W1935586951 on OpenAlexaffvenueabout
Bouchra Taïbi

Bibliographic record

VenueReflets Revue d’intervention sociale et communautaire · 2015
Typearticle
Languagefr
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsMinistère de l’Emploi et de la Solidarité Sociale (Québec)
Fundersnot available
KeywordsHumanitiesPolitical scienceEthnologyArtSociology

Abstract

fetched live from OpenAlex

Le présent article s’intéresse aux femmes arabes et musulmanes victimes de violence conjugale en contexte migratoire. Il a pour but de présenter les ressources qu’elles mobilisent tout en mettant en évidence le contexte avec lequel elles doivent composer pour faire face à leur situation. Il s’appuie sur une étude qualitative exploratoire menée auprès de quatre femmes nées au Maghreb et résidant au Québec. L’étude met en lumière que les stratégies déployées et les ressources mobilisées par les femmes sont étroitement liées d’une part à leur désir de s’insérer sur le marché de l’emploi et d’autre part au fait qu’elles craignent que la décision de se séparer de leur conjoint entraîne pour elles un renvoi dans leur pays d’origine.

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)0.003
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 score0.039
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.002
Scholarly communication0.0020.001
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.164
GPT teacher head0.432
Teacher spread0.268 · 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

Citations2
Published2015
Admission routes3
Has abstractyes

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Same venueReflets Revue d’intervention sociale et communautaireSame topicMulticulturalism, Politics, Migration, GenderFrench-language works237,207