Exploring multisectoral partnerships in the promotion of health, physical literacy, and physical activity in school contexts: A scoping review protocol
Bibliographic record
Abstract
A scoping review protocol to explore, identify, and map the key concepts of established areas of research, emerging trends and the identification of gaps in the knowledge related to What is known about multisectoral partnerships in the promotion of health, physical literacy, and physical activity in schools? This identification will guide future research and the development of policies and practices that may support multisectoral partnerships and enhance their success in promoting PL and PA within schools.
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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 | 0.202 | 0.209 |
| Meta-epidemiology (narrow) | 0.004 | 0.006 |
| Meta-epidemiology (broad) | 0.011 | 0.014 |
| Bibliometrics | 0.024 | 0.021 |
| Science and technology studies | 0.008 | 0.008 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.006 | 0.011 |
| Research integrity | 0.014 | 0.009 |
| Insufficient payload (model declined to judge) | 0.044 | 0.011 |
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".