Examining participation in school food and nutrition programs among students in grades 6‐8 in Vancouver, Canada (624.23)
Bibliographic record
Abstract
Objective: In Canada, both diet‐related health conditions and the environmental sustainability of the food system are growing concerns being addressed by school food and nutrition programs (SFNPs). The objective of this study was to quantify participation in SFNPs among grade 6‐8 students in Vancouver, and whether participation differed by gender, school‐level, or among schools. Methods: A cross‐sectional survey in 26 diverse Vancouver schools assessed student participation in SFNPs (n=937). Rao‐Scott corrected chi‐square tests were used to evaluate associations between participation, gender, and school variables (p < 0.05). Results: SFNP participation varied significantly between schools, yet < 50% of students reported engaging in most SFNPs examined, including: food preparation (36%), choosing or tasting healthy foods (27%), learning about Canada’s Food Guide (CFG) (45%), learning about foods grown in British Columbia (BC) (35%), growing food in a garden (21%), composting (32%), and recycling (51%). Girls were more likely to report learning about CFG or BC foods, and secondary students were more likely to participate in food‐specific activities compared to elementary students. Conclusions: Despite recent efforts to engage Vancouver students in SFNPs, participation in most SFNPs remains low in most schools. Consequently, few students in grades 6‐8 are being exposed to the whole food cycle. Grant Funding Source : Canadian Institutes of Health Research, the UBC Food Nutrition and Health Vitamin Research Fund
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".