Assuming policy responsibility for health equity: local public health action in Ontario, Canada
Bibliographic record
Abstract
In Canada's liberal welfare state the public is given little exposure by governmental authorities to the importance of promoting health equity through public policy action on the social determinants of health (SDoH). Not surprisingly, Canada lags in implementing health equity-enhancing public policy. In Ontario, Canada's most populous province, a local public health unit (PHU) took on the task of promoting health equity by developing the video animation Let's Start a Conversation about Health and Not Talk about Health Care at All. In the wake of this work, an additional 17 local PHUs (of 36) adapted it for local use. By placing these activities within Nutbeam's and de Leeuw's concepts of critical health literacy as an essential component of health promotion, we examine how these PHUs came to adopt the video, their intended uses, and supports and barriers encountered. These efforts by local PHUs to promote health equity through action on the SDoH have implications for those in jurisdictions where State attention to these issues is lacking.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.027 | 0.008 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".