Getting serious about the social determinants of health: new directions for public health workers
Bibliographic record
Abstract
International interest in the social determinants of health and their public policy antecedents is increasing. Despite evidence that as compared to other wealthy nations Canada presents a mediocre population health profile and public policy environments increasingly less supportive of health, the Canadian public health gaze is firmly - and narrowly - focused on lifestyle issues of diet, physical activity and tobacco use. Much of this has to do with Canada being identified as being driven by a liberal political economy, a situation shared with a cluster of other developed nations. Reasons for Canada's neglect of structural and public policy issues are explored and ways by which public health workers in Canada and elsewhere can help to shift policymakers and the general public's understandings of the determinants of health are outlined.
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.
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 | 0.029 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.008 | 0.023 |
| Scholarly communication | 0.015 | 0.020 |
| Open science | 0.004 | 0.011 |
| Research integrity | 0.022 | 0.022 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".