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Record W7081963646 · doi:10.7870/cjcmh-2025-008

L’utilisation de substances psychoactives en contexte d’intervention auprès de victimes d’actes criminels : les enjeux liés à la pratique

2025· article· fr· W7081963646 on OpenAlexaffvenue

Bibliographic record

VenueCanadian Journal of Community Mental Health · 2025
Typearticle
Languagefr
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsUniversité de SherbrookeCégep de LévisCentre intégré universitaire de santé et de services sociaux de la Capitale-NationaleUniversité du Québec à Trois-RivièresCentre Intégré Universitaire de Santé et de Services Sociaux du Saguenay–Lac-Saint-JeanCentre intégré de santé et de services sociaux de Chaudière-AppalachesUniversité Laval
Fundersnot available
KeywordsPoison controlContext (archaeology)Work (physics)

Abstract

fetched live from OpenAlex

La présence d’actes criminels dans la vie d’un individu peut entraîner la consommation de substances psychoactives (SPA) pour apaiser ceux-ci. Qu’elle soit problématique ou non, la consommation de SPA peut affecter l’intervention auprès des victimes. Une première étude a permis de documenter certaines lacunes dans l’intervention spécialisée en dépendance lorsqu’il y a présence de victimisation. L’étude actuelle s’intéresse à la prise en compte de la consommation par les personnes intervenant auprès des victimes d’actes criminels. Les résultats des 31 entrevues menées auprès d’intervenant(e)s soulèvent principalement les besoins de mieux connaître les SPA et leurs effets de même que les besoins de collaboration entre professionnel(le)s afin d’améliorer les services aux victimes.

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)0.004
metaresearch head score (Gemma)0.015
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: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0020.003
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 head0.053
GPT teacher head0.352
Teacher spread0.299 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Community Mental HealthSame topicGeochemistry and Geologic MappingFrench-language works237,207