Physical activity for children in elementary schools: time for a rethink?
Bibliographic record
Abstract
In spite of the well-known benefits of physical activity, the vast majority of children in North America do not meet current international guidelines for accumulating sufficient health-enhancing physical activity. Indeed, despite considerable attention to this population health crisis, the current prevalence of inactivity, along with its concomitant health consequences, shows little sign of abating. In this paper, we identify acknowledged barriers to wide scale physical activity adoption and maintenance at the population level among children and propose a viable tripartite framework (albeit one that would require political support) that we hope will provide the basis for debate and implementation. We emphasize that each of these considerations, in isolation, would be insufficient to substantively address the problem, but when combined would ensure that all elementary school children (without any medical contraindication) are sufficiently active, rather than the minority of this population.
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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 | 0.039 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.020 |
| Scholarly communication | 0.017 | 0.018 |
| Open science | 0.005 | 0.010 |
| Research integrity | 0.013 | 0.031 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".