Towards Healthier Aboriginal Health Policies? Navigating the Labyrinth for Answers
Bibliographic record
Abstract
The purpose of this dissertation is to discuss and evaluate processes and institutional structures that influence relationships between Aboriginal communities and government in the development, implementation, and evaluation of health policy. It explores the changing nature of Aboriginal health policy and politics in Canada and examines the shift to self-determination that has transpired in Canada’s Aboriginal health policies focusing on their application to Aboriginal peoples. This dissertation examines two Aboriginal health policies in Canada: the federal health transfer policy and Ontario’s Aboriginal Healing and Wellness Strategy. Both policies are intended to improve health at the community level by supporting the development of community-based and culturally appropriate health programs. Thus, using community-based research methods, this dissertation maps some of the key political stakeholders in Aboriginal health policy, from local level community members and health representatives to peak provincial and federal Aboriginal organizations, to the offices of ministers in Canadian parliament. I reflect upon the processes and institutional structures that shape relationships between the Aboriginal community-controlled health sector and government. I examine several First Nations communities in northern Ontario involving both federal and provincially supported initiatives to illustrate the strengths, weaknesses and paradoxes that surface from the implementation of locally controlled health programs. I contrast these efforts with a second First Nations community in Manitoba that operates solely under the federal health transfer policy. I juxtapose these two communities to assess whether additional layers of community-controlled initiatives make tangible differences to community wellness; particularly for Aboriginal peoples living off reserve. This dissertation is being written under the theoretical assumption that governance and community wellness are intrinsically linked. Arguably, there is a definitive correlation between self-determination and community well-being; self-determination may be a determining factor in improving conditions for Aboriginal peoples and understanding resiliency. This dissertation is about a long lasting colonial legacy of social inequalities in Aboriginal health but also about the incredible successes in Aboriginal health. It is also about the many challenges of Aboriginal representation and self-determination in the context of contemporary Canadian society.
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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 | 0.085 | 0.079 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.027 | 0.057 |
| Scholarly communication | 0.037 | 0.041 |
| Open science | 0.006 | 0.022 |
| Research integrity | 0.018 | 0.035 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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".