Development and testing of the Sustainable Nutrition Environment Measures Survey for retail stores in Ontario
Bibliographic record
Abstract
OBJECTIVE: To develop and test a tool to assess the price and availability of low-carbon footprint and nutritionally balanced dietary patterns in retail food environments in Ontario, Canada. DESIGN: Availability and price of selected food from discount and regular grocery stores (n 23) in urban/rural areas of northern/southern Ontario were assessed with the Sustainable Nutrition Environment Measures Survey in 2017. SETTING: Ontario, Canada. RESULTS: Inter-rater reliability was high for price (intra-class correlation coefficients = 0·819) and for availability (Cohen's κ = 0·993). The tool showed 78 % of the selected food items were available in all stores. Overall, price differences were small between urban and rural locations, and northern and southern Ontario. The greatest price difference was between discount and regular stores. CONCLUSIONS: The tool showed excellent inter-rater agreement. Researchers and public health dietitians can use this tool for research, practice and policy to link consumer-level health outcomes to the retail environment.
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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 | 0.006 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".