Assessing the food environment in Manitoba schools: analysis of the 2009 Manitoba School Nutrition Survey
Bibliographic record
Abstract
Objectives: To analyze data collected in the 2009 Manitoba School Nutrition Survey to describe the school food environment, and to assess whether Manitoba schools have developed and implemented food and nutrition policies. Methods: A quantitative survey sent to all publicly funded schools in Manitoba (n=688). Questions covered food service facilities (cafeterias, canteen/tuck shops, and vending machines), lunch at school, fundraising, food-related school events, school food programs, and policy development. Results: Response rate from schools was 78%. Results indicate that 56% of schools have a policy in place at the division level and a further 29% have policies at the school level. 65% of Manitoba schools have nutrition and/or health committees in place. 44% of schools stated they have funded school food programs. The top three food items sold for fundraising were Mom’s pantry items (41%), chocolate bars (27%), and frozen pizza (24%). Conclusions: Results of the 2009 Manitoba School Nutrition Survey show that food remains as an essential part of school life. The high response rate suggests that great importance is being placed on child nutritional health in schools. The survey shows that there have been changes in the school food environments compared to the baseline data from the 2006 survey, especially in the area of policy development and the placement of a health committee. School food programs continue to be an important element in schools. Implications: This study shows that the Manitoba approach to school nutrition policy appears to have been effective in producing changes in Manitoba schools and provides directions for future efforts to implement policies.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".