Geographic access to healthy and unhealthy food sources for children in neighbourhoods and from elementary schools in a mid-sized Canadian city
Bibliographic record
Abstract
We examined location-related accessibility to healthy and unhealthy food sources for school going children in Saskatoon, Saskatchewan. We compared proximity to food sources from school sites and from small clusters of homes (i.e., dissemination blocks) as a proxy for home location. We found that (1) unhealthy food sources are more prevalent near schools in lower income than higher income neighbourhoods; (2) unhealthy compared to healthy food sources are more accessible from schools as well as from places of residence; and (3) while some characteristics of neighbourhood low socio-economic status are associated with less accessibility to healthy food sources, there is no consistent pattern of access. Greater access to unhealthy food sources from schools in low-income neighbourhoods is likely a reflection of the greater degree of commercialization. Our spatial examination provides a more nuanced understanding of accessibility through our approach of comparing place of residence and school access to food sources.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".