Collaborative Practice in Secondary Schools in the Promotion of Healthy Eating and Physical Activity
Bibliographic record
Abstract
Background: Among 12 to 17 year-olds, overweight and obesity rates have more than doubled in the past 25 years. In Quebec, the government initiatives that have been implemented to promote healthy behaviours among young people require the collaboration of many stakeholders. The objective of this study was to describe collaborative practice in secondary schools promoting healthy eating and physical activity.Methods and Findings: A descriptive multiple-case study was conducted in three Quebec secondary schools. The data collection methods consisted of a focus group, semi-structured individual interviews (21), observation of events involving collaboration among various school stakeholders (5), and document analysis (3). Qualitative analysis of intra-case and cross-case data carried out by more than one researcher helped identify emerging manifestations of collaborative practice.Conclusion: Committing to projects, accepting tasks, and consulting with colleagues are some of the actions identified in school-based activities promoting healthy lifestyles. This study sheds light on the importance of collaborative practice in the promotion of healthy lifestyles among young people in a school setting.
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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 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.013 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".