The broader impact of walking to school among adolescents: seven day accelerometry based study
Bibliographic record
Abstract
differences in blood lipids, insulin, and leptin persist with increasing age these could be of public health importance.As the provision of school dinners has changed little in the past five years, 1 the differences could be of continuing relevance.However, the extent to which the differences reflect dissimilarities in the composition of school dinners and home provided school meals or other aspects of the dietary patterns and health behaviours of the two groups remains uncertain.Despite these uncertainties, we can draw two general conclusions.Firstly, the lower mean folate concentration seen among pupils eating school dinners suggests that new initiatives likely to increase the folate content of school dinners would be appropriate.5 Secondly, the other differences seen suggest that the average health status of pupils eating school dinners is no worse-and may actually be better-than that of pupils eating meals provided from home.This suggests that efforts to improve the diet and nutrition of British children and adolescents will need to extend beyond school dinners to tackle overall dietary patterns and their societal determinants if they are to be successful.We are grateful to the research team members and to the participating schools and pupils.We thank P M Ueland and H Refsum (department of pharmacology, University of Bergen) for the measurement of serum folate.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".