The Influence of a Centrally-Procured School Food Program on Consumption and Instances of Fruits and Vegetables in School-Age Children
Bibliographic record
Abstract
Background: In Canada, 70% of youth are not meeting the recommended five servings of fruits and vegetables (FV) daily. School nutrition programs are one strategy for improving dietary habits in youth.\nMethods: A two-year pilot cluster randomized controlled trial was implemented within Southwestern Ontario to assess how a ten-week centrally-procured school food program (CPSFP) influences students’ consumption and instances of FV compared to the traditional school nutrition program (TSNP).\nResults: Children were 9-13 years of age; 30 schools received the CPSFP and 30 received the TSNP. Vegetable consumption did not change with the CPSFP (mean=0.0; SD=1.0) or the TSNP (mean=0.0; SD=1.0; p=0.94). Fruit consumption did not change with the CPSFP (mean=0.0; SD=1.4) and decreased by 0.1 servings (SD=1.4) with the TSNP (p=0.06). Instances of vegetables and fruit were similar between groups.\nConclusions: The CPSFP resulted in no significant change in consumption or instances of FV.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".