Dépistage systématique de la violence conjugale. Réflexion théorique et développement d’un protocole
Bibliographic record
Abstract
À la suite d'une démarche de planification socio sanitaire visant à définir les priorités d'action pour les années à venir, la violence conjugale est devenue une des deux problématiques prioritaires pour le CLSC Saint-Hubert et son dépistage, un objectif important du plan opérationnel. Pour atteindre cet objectif, le CLSC a fait appel au Centre de recherche interdisciplinaire sur la violence familiale et la violence faite aux femmes (CRI-VIFF). Une équipe de recherche de ce centre a travaillé à l'élaboration d'un protocole de dépistage systématique de la violence conjugale. Cet article d écrit l'élaboration de ce protocole et son application par un nombre limité d'intervenants et d'intervenantes auprès d'une partie de la clientèle du CLSC. Cette phase expérimentale précède l'application généralisée du protocole dans tous les services du CLSC.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.298 | 0.306 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.007 | 0.010 |
| Scholarly communication | 0.007 | 0.008 |
| Open science | 0.004 | 0.010 |
| Research integrity | 0.007 | 0.011 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".