Environmental health assessment of communities across Canada: contextual factors study of the Canadian Alliance for Healthy Hearts and Minds
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Rationale: Cardiovascular risk varies across communities in Canada. Community-level differences in contextual factors may influence risk factor development.Methods: We audited urban and rural Canadian communities using a standardized instrument to collect objective measures of demographic, public transport, tobacco, grocery, alcohol, and healthful restaurant options. We duplicated 209 audits to assess reliability.Results: Of 2074 communities audited between 2014 and 2016, 83.5% were urban. Provincial and urban-rural differences exist in fruit and vegetable availability. Rural communities face higher food prices, are subject to more seasonal variation in fruit and vegetable selection, and generally see less promotion of healthy choices and nutritional information in restaurants than urban communities. In-store advertising for sweet drinks and junk food is more frequent than advertisements for tobacco products. Cigarette prices are lower and variety higher in urban than rural communities, and lowest in central Canada. Alcohol prices are lowest in Quebec. The intra-rater reliability of the audits was high. We created an on-line map for public use.Conclusions: Provincial and urban-rural differences exist for contextual determinants of health. Public health and built environment professionals and government officials should use these data to develop unified federal and provincial strategies to reduce Canada’s chronic disease burden.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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 it