Étude exploratoire du point de vue des femmes et des hommes sur les services utilisés en matière de violence conjugale 1
Bibliographic record
Abstract
Long considered a private matter, domestic violence is now viewed as a widespread social problem. Its harmful consequences on women, couples, children as well as society are now better known by the various networks of professionals summoned to work together in order to develop approaches that are more complementary and that are based on a common understanding of the problem. An analysis has been undertaken of intersectorial consultation mechanisms current in Québec with professionals involved in services concerning domestic violence in various sectors of the health and social services network. The current study-the first to analyse from a qualitative perspective the discourse of women who have been victims of domestic violence and men who have adopted violent behaviours toward their partner - has allowed to explore the perception of interventions received, their coherence, their complementarity and their impact on cessation of violence as well as the individual's progress. The results show among other things, that participants of the study, men but especially women consult an important number of professionals from a wide range of resources. However, the weight of steps taken does not come as much from the number of organizations or the path through each of these organizations, but rather from the lack of intra/inter/sectorial coordination between professionals within these agencies.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".