Canada’s history of failing to provide medical care for Indigenous children
Bibliographic record
Abstract
In December 2007, the House of Commons unanimously supported Jordan's Principle, a commitment that all First Nations children would receive the health care products, social services, and supports, and education they need, in memory of Jordan River Anderson. However, the process of applying for Jordan's Principle was convoluted and not transparent, leaving several cases not being responded to. The Canadian Human Rights Tribunal found the definition and implementation of Jordan's Principle to be racist and discriminatory in 2016, ordering the Canadian government to make immediate changes. Failing to make changes to Jordan's Principle, the Canadian government was found to be noncompliant with the Canadian Human Rights Tribunal orders in 2018. This article provides one case example of Jordan's Principle that was not responded to, details on the current status of Jordan's Principle, and information on the recent implementation of the Act respecting First Nations, Inuit and Métis children, youth and families.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.050 | 0.016 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.006 | 0.016 |
| Insufficient payload (model declined to judge) | 0.009 | 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".