Applying theoretical components to the implementation of health-promoting schools
Bibliographic record
Abstract
Objective: Health-promoting schools (HPS) constitute an internationally recognised approach that connects health and education in a planned, integrated and holistic way. There is considerable variability, however, in how HPS is implemented and recent research has attempted to clarify the key functions of implementation. A provincial HPS strategy in Nova Scotia (NS) (Canada) provided a unique research opportunity to examine implementation related to emerging theory. The purpose of this exploratory study was to describe a provincial case study of HPS implementation using theoretical components identified in the literature. Design: Collective case study approach using qualitative research methods. Setting: The study was situated within a larger province-wide school-based research project examining the relationships between health, nutrition, physical activity, mental health and school performance of children in NS. As a follow-up to the provincial study, nine schools ( n = 9) that varied in their HPS implementation strategies and characteristics (i.e. size and region) were invited to take part as case study schools. Method: Data collection included observations, interviews and documents from nine schools ( n = 9). Data were analysed for emerging themes and using the a priori theoretical components. Results: The results revealed that schools assembled into three sequential categories based on the functioning of theoretical components. Higher level visioning and school-level leadership were critical in sustaining the adoption and implementation of HPS across schools and appeared to enable and integrate organisational processes, such as distributed leadership and a collaborative school culture, to enhance HPS implementation at school level. Conclusion: This study confirmed other reports that it is imperative to integrate HPS work with educational values so as to enable partnerships in both the health and education sectors, thereby promoting both health and prosperity among students.
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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 | 0.013 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.005 | 0.023 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| 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".