How divergent conceptions among health and education stakeholders influence the dissemination of healthy schools in Quebec
Bibliographic record
Abstract
This paper focuses on dissemination of the healthy schools (HS) approach in the province of Quebec, Canada. Dissemination aims at raising awareness about HS and promoting its adhesion among actors concerned with youth health in school. As HS is a joint initiative based on agreement and collaboration between health and educational sectors, the positions of stakeholders that foster cooperation between these sectors were considered to be critical to optimize its dissemination. The study's objectives were to: (i) examine and contrast the stakeholders' conceptions of HS and (ii) understand how converging and diverging stakeholders' positions on HS favourably or negatively influence its dissemination in Quebec. Gray's analytical approach to collaboration and its focus on stakeholders' mindframe about a domain served as a conceptual lens to examine stakeholders' positions regarding HS. Collection methods included documentary analysis and semi-structured interviews of 34 key internal and external informants at the provincial, regional and local levels. The results showed consensual adhesion to fundamental principles of the HS approach. However, differences in conceptualization between provincial authorities of the two sectors concerning the way to disseminate HS have been observed. These differences represented a significant barrier to HS optimal dissemination. A dialogue between the two authorities appears to be essential to arrive at a negotiated and shared conceptualization of this issue in the Quebec context, thus allowing agreements for adequate support. The results may serve as the basis for a more fruitful dialogue between actors from the two sectors, at different administrative levels.
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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 | 0.009 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.005 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".