Implementing the Alberta Nutrition Guidelines for Children and Youth: In a Recreational Facility
Bibliographic record
Abstract
PURPOSE: In this mixed-methods case study, we explored factors influencing the adoption and implementation of the Alberta Nutrition Guidelines for Children and Youth within recreational facilities, and assessed the impact of their implementation on the food environment. METHODS: Qualitative data were generated via interviews, observations, and document reviews. The quality of the food environment was assessed using validated and newly developed food environment assessment tools. RESULTS: Whereas few barriers existed in terms of adopting the guidelines, implementing them proved much more challenging. Implementation was impeded by concerns about the lack of profitability of healthy items, time, and resource constraints. Guidelines that do not restrict the availability of unhealthy options are better accepted by stakeholders. Implementation of the guidelines supported creation of a healthy food environment, but the availability of healthy items remained very limited within the concession (16%) and vending machines (20%), and children continued to purchase primarily unhealthy items. CONCLUSIONS: Findings suggest that children choose healthy options insufficiently when unhealthy items are present. Thus, although introducing the nutrition guidelines in a nonrestrictive format may have been advantageous in some ways, they should be strengthened over time so that they recommend near or total elimination of unhealthy options.
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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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".