Health inequalities in Canada: current discourses and implications for public action
Bibliographic record
Abstract
becoming available in Canada. Warnings concerning the consequences of increasing economic inequality are primarily being raised within the social development sectors. The primary message is that economic inequality is creating poverty, a situation that should, on principle, be unacceptable to Canadians. The health effects of economic inequality and poverty are known to many public health professionals, but with few exceptions, public health responses are usually limited to the delivery of ameliorative programmes to those living in poverty. While federal, some provincial, and public health association documents include economic inequality as a determinant of health, discussions of the role that economic inequality plays in creating poverty, its impact upon community structures that support health, and the causes of increasing inequality are for the most part, isolated from public health discourse. Evidence of, and reasons for, resistance to such analyses and potential courses of action for addressing economic inequality and its health effects are presented.
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 | 0.010 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.014 |
| Science and technology studies | 0.040 | 0.028 |
| Scholarly communication | 0.025 | 0.007 |
| Open science | 0.005 | 0.009 |
| Research integrity | 0.007 | 0.012 |
| Insufficient payload (model declined to judge) | 0.010 | 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".