Integrating equity into environmental health practice: findings of a pilot study
Bibliographic record
Abstract
The existence of health inequities is a priority public health issue in Canada, but it is not clear how—or how well—equity is embedded into environmental health practice. To assess how health equity and the social determinants of health intersect with their practice, we conducted two focus groups with public health inspectors in British Columbia and Nova Scotia. We explored where social barriers affect compliance, how practitioners respond, and where there are resource or knowledge gaps that limit practitioner response. Participants identified barriers related to socioeconomic status, culture, education, and geography. They responded to these barriers largely in ad hoc ways, using makeshift or borrowed tools, personal collaboration networks, and communication strategies, and by exercising discretion and progressive enforcement. Public health inspectors indicated they were motivated to take action but felt uncertain of their scope and role in doing so. Findings indicate that health equity does relate to environmental health practice and that there is a need for additional resources, organizational supports from management, and further research to identify and evaluate best practices.
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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 | 0.032 | 0.043 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".