First Nations students’ perceptions of school nutrition policy implementation: A mixed methods study
Bibliographic record
Abstract
AIM: School nutrition policies can improve healthy food access for Indigenous First Nations children in Canada. This study explored First Nations students' perceptions of a school nutrition policy. METHODS: The research was a process evaluation of school nutrition policy implementation using a mixed-methods design. Students in grades 4-12 (n = 94) completed a 17-question survey to capture their perceptions of the policy. Survey data informed an 11-question semi-structured interview guide. Transcripts from interviews with students (n = 20) were analysed using content analysis to identify barriers and facilitators to policy implementation. RESULTS: Key facilitating factors to policy implementation were student support for the policy and taste preferences. Most students (87%) agreed that only healthy foods should be served at school and, in interviews, expressed a preference for healthy food choices. Barriers to policy implementation included foods available at school and lack of communication between students and their teachers and parents. Half (50%) of surveyed students reported that their eating habits at school were average; interviews explained that their diets could be improved by consuming more fruit and vegetables at school. Both surveys and interviews found that communication between students and their parents and teachers about what they ate and drank at school was low. CONCLUSIONS: To support children's healthy eating at school, the school nutrition policy could provide clear guidelines on foods permissible in the school, while considering social and environmental barriers to healthy eating. The involvement of First Nations children in the implementation and evaluation of school nutrition policies is recommended.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".