Culture matters: a case of school health promotion in Canada
Bibliographic record
Abstract
Rising concerns of poor health behaviours of children and youth have stimulated international support for a comprehensive approach to promoting the development of healthy behaviours in the early years. Health promoting schools (HPS) is increasingly adopted as an approach to guide supportive practices, but there is limited research that has reported how to effectively implement HPS at a population level. The purpose of this research was to qualitatively explore the factors preventing and facilitating implementation of HPS practices in the Canadian province of Nova Scotia. Interviews (n = 23) were conducted with school stakeholders (principals, teachers and parents) from a diverse sample of schools (n = 9) and data were analysed to develop an understanding of how school circumstances and experiences influenced HPS implementation. At a broad level, the reported barriers were structural and systemic, whereas the facilitating factors were related to organizational capacity and political leadership. It was evident that implementing and sustaining HPS required a shift in values and integration of supportive school health practices into school priorities. The results suggest that, without addressing the competing culture, which is persistently reinforced by strict academic mandates and unhealthy community norms, HPS will be vulnerable to circumstances that prevent implementation. Considering the emerging importance of mental wellbeing, it will also be important to provide schools with adequate and appropriate staff capacity and support to address this issue. Sustaining the positive effects of HPS will require continuous engagement and collaboration with multiple stakeholders to embed health promotion into school community norms.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.057 | 0.011 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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".