Decolonization: Resolving the Crisis in Indigenous Peoples’ Health Care
Bibliographic record
Abstract
When colonialism is invisible to the colonizer/settler, that one inevitably misdiagnoses the so-called “Aboriginal problem”. So, unsurprisingly, any proposed solution fails. Problems resulting from colonialism, including the health crisis in Indigenous communities, are so visible Canada cannot deny seeing them. Yet, the voices of Indigenous leaders, community workers, and scholars insisting Canada address colonialism to solve the problems fall on deaf ears. This paper argues that the justice requirement to address colonialism is not simply based in an Indigenous moral and legal perspective. Canada’s justice foundation is provided by liberal theory, and liberalism supports Indigenous solutions. Colonialism has made Indigenous communities unwell. Past assimilation and present reconciliation approaches to “curing” Indigenous communities fail because they ignore colonialism. Arthur Manuel and I demonstrate that only decolonization can heal Indigenous communities. Since the unjust relationship between Indigenous peoples and Canada’s has always been the source of the problems, a just relationship alone can fix them.
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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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.038 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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".