Creating conditions for Canadian aboriginal health equity: the promise of healthy public policy
Bibliographic record
Abstract
In the Canadian context, the persistence and growth of Aboriginal health and social inequity signals that we are at a critical public health policy juncture; current policy reflects an historic relationship between Aboriginal people and Canada that fails the contemporary health needs of Canada's Aboriginal peoples. In this review, we highlight the need for healthy public policy that recognizes and prioritizes the rights of Canada's Aboriginal people to achieve health equity. Drawing from a structural approach, we examine the historical scope and comprehensive breadth of the Indian Act in shaping modern Aboriginal health and social inequities. Canada's failure to implement a national public policy for Aboriginal health reflects the proliferation of racism in modern day Canada, and a distinctly lacking political will at the federal level. Despite these structural challenges, there is great promise in community self-determination in health care and the role of community-led research as advocacy for policy reform. In our conclusion, we turn to the Report on the Truth and Reconciliation Commission of Canada (2015) and draw upon the concept of reconciliation as a fundamental precursor for Aboriginal health equity. The burden of systemic change needed to promote healthy public policy cannot be carried by any single group of advocates; it is a shared responsibility that will require the collaboration and integration of various actors and knowledges.
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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 | 0.010 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".