Quebec’s Model for Men’s Health: Connecting Community, Research, Practice, and Policies
Bibliographic record
Abstract
In the past 20 years, in the province of Quebec, Canada, there has been an active social response to men’s health issues, from local initiatives to research and national public health policies, such as the Men’s Health Action Plan 2017–2022, created by the Ministry of Health and Social Services. Although Quebec has developed and implemented many initiatives in this field of study, they remain largely unknown outside of the French-speaking regions. This paper seeks to make Quebec’s model available for an international audience and to inform a wider debate about gender and health issues. The main focus was to review the key community and institutional milestones that brought about this model. Challenges and limitations to the model are discussed within a wider debate on gender and health studies. Closing remarks support the relevance of greater inclusion of men’s health content in university courses.
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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 | 0.011 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.016 | 0.019 |
| Scholarly communication | 0.014 | 0.005 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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.
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".