Health hazards and socio‐economic status: a neighbourhood cohort approach, Vancouver, 1976–2001
Bibliographic record
Abstract
This paper lays the foundation for a research program concerned with the geographical patterning of environmental and population health at the urban neighbourhood scale. Based on the Vancouver metropolitan region, the aim is to better understand the role of neighbourhoods as epidemiological spaces where environmental and social characteristics combine as health processes and outcomes at the community and individual levels. With respect to procedure, this paper builds a cohort of commensurate neighbourhoods across all six census periods from 1976 to 2001, assembles neighbourhood air pollution (total particles) data, and provides an initial analysis to demonstrate how air pollution systematically and consistently maps onto neighbourhood socio‐economic markers, specifically education and family status. We conclude with a discussion of how the neighbourhood cohort can be further developed to address emergent priorities in the population and environmental health literatures, namely the need for temporally matched data, a life‐course approach and analyses that control for spatial scale effects.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".