Réduire les conséquences de l'exposition de l'enfant à la violence conjugale : pourquoi miser sur la relation mère-enfant ?
Bibliographic record
Abstract
Résumé Les recherches des deux dernières décennies montrent combien la violence conjugale met à risque le développement de l’enfant. Elles conduisent également à reconnaître des voies d’action prometteuses pour venir en aide à l’enfant. À cet égard, l’importance de soutenir la qualité de la relation mère-enfant ressort de nombreuses études. Cet article propose une synthèse des données de recherche disponibles sur les conséquences de la violence conjugale sur la mère, sur l’enfant et sur la relation mère-enfant. Il amène à dégager plusieurs cibles d’intervention visant à soutenir les différentes dimensions de la qualité de cette relation et les limites des actions actuelles qui illustrent le fossé existant entre les données probantes et la pratique.
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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 | 0.014 | 0.057 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
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".