La formation Intervenir auprès des hommes dans le réseau de santé en Montérégie. Une perspective organisationnelle
Bibliographic record
Abstract
INTRODUCTION: The primary objective of the For'hommes project deployed since 2011 in the Montérégie region (south of Montreal in Quebec) is to increase awareness and train Health and Social Services Centers (CSSS) administrators, clinical supervisors and intervention workers in dealing with the male clientele. OBJECTIVE: An evaluation of project implementation allowed documentation of the organizational practices enabling the development of the "lntervenir auprès des hommes" training in the CSSS. METHOD: Eight interviews with administrators and supervisors from five of the seven CSSS were conducted in 2013. RESULTS: The awareness and training programmes prompted the CSSSs to assess the services offered and review certain practices (organizational or clinical) targeting male clienteles. The welcoming process, analysis of the requests and intervention with men are now more adapted to their realities and needs: more rapid intervention, phone support prior to management, helping men with referrals to community social services, a better understanding of the calls for help. To pursue the deployment of services adapted to a male clientele, administrators and supervisors emphasized the importance of continuing to offer training to CSSS intervention workers. CONCLUSION: Reflection emerging from the training of the managers and supervisors represents a promising approach, as it involves the key actors in the organization's. We can therefore consider "lntervenir auprès des hommes" training to be a key element of improvement of the services offered by CSSSs.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.009 | 0.009 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".