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Record W3034753451 · doi:10.7870/cjcmh-2020-004

Cooccurrence violence conjugale, santé mentale ou consommation : mieux répondre aux besoins des familles

2020· article· fr· W3034753451 on OpenAlexaffvenue
Geneviève Lessard, Chantal Lavergne, Sylvie Lévesque, Annie Dumont, Pamela Alvarez-Lizotte, Valérie Meunier, Sophie M. Bisson

Bibliographic record

VenueCanadian Journal of Community Mental Health · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsUniversité du Québec à MontréalCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalUniversité Laval
Fundersnot available
KeywordsPolitical scienceHumanitiesPoison controlMedicineArtEnvironmental health

Abstract

fetched live from OpenAlex

Cette recherche qualitative explore les points de vue de mères, de pères et d’adolescents (n = 43) quant aux services reçus pour les problèmes cooccurrents de violence conjugale, de santé mentale et de consommation chez les parents. Les données ont été recueillies par des entrevues semi-dirigées, soutenues d’un outil de cartographie des services utilisés. L’analyse de contenu thématique montre que les participants déploient plusieurs stratégies pour faire face aux problèmes cooccurrents vécus et utilisent diverses ressources d’aide formelle et informelle. Plusieurs recommandations sont proposées pour améliorer l’offre d’aide aux familles en situation de cooccurrence, dont la concertation entre les différentes ressources concernées.

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)0.027
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.911
Threshold uncertainty score0.177

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.027
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0050.003
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.100
GPT teacher head0.377
Teacher spread0.276 · 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 designObservational
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

Citations1
Published2020
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Community Mental HealthSame topicIntimate Partner and Family ViolenceFrench-language works237,207