Moving from Policy to Practice: A Report of School Nutrition Policy Adherence in Nova Scotia
Bibliographic record
Abstract
PURPOSE: School food and nutrition policies have the potential to encourage healthier eating among children and youth to address rising concerns of poor diet quality. Despite their widespread implementation, there is little reported monitoring of policy adherence. This short report describes adherence to the provincial school food and nutrition policy in Nova Scotia (NS) that was implemented in 2006. METHODS: An online survey was distributed to NS public schools in 2014-2015 to assess adherence to the directives and guidelines of the policy. Descriptive information was obtained for schools and indicators for policy adherence were explored. RESULTS: A total of 242 schools completed the survey (73% response rate) and policy adherence was variable across the different components. Few schools adhered to the policy standard related to the sale of unhealthy foods and there was inconsistency in school adherence reported for other policy indicators. CONCLUSIONS: This research suggests that further action is need to ensure "minimum nutrition" food and beverages are not available in schools and that healthy eating is reinforced through prioritizing key policy actions like pricing strategies, discontinuing fundraising with unhealthy food, and ensuring food programs are available in a nonstigmatizing manner.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".