A randomized control trial of a Canadian-based school food program on the home food environment
Bibliographic record
Abstract
Research provides evidence of take-home effects in school-based nutrition interventions, citing children as important influencers of family nutrition, acting as agents of change in the household and potentially influencing family food consumption. Therefore, the purpose of this randomized control trial was to examine whether implementation of a centrally procured school food program would produce changes in children's home food environment, including fruit and/or vegetable availability and parental modelling of fruit and/or vegetable consumption. A secondary objective was to investigate whether children's fruit and/or vegetable intake predicted their parent's fruit and/or vegetable intake. A total of 60 schools participated in the evaluation, including 2443 students (and their parents) in grades 5-8. Findings indicated that the intervention did not produce take-home effects on children's home availability of fruit (p = 0.52) and vegetables (p = 0.67) or parental modelling of fruit (p = 0.26) and vegetable consumption (p = 0.78), which may be related to the fact that only food provisions were given. However, children's fruit and vegetable consumption predicted parents' fruit and vegetable consumption (p < 0.001), thereby indicating that children may possess the capacity to influence home nutrition. Future school-based nutrition interventions are recommended to be multi-component (e.g. experiential learning, parent involvement) and that encourage nutrition leadership opportunities for children in the home context.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".