Should Governments be Above the Law? The Canadian Human Rights Tribunal on First Nations Child Welfare
Bibliographic record
Abstract
Many child welfare statutes protect children when caregivers jeopardise their safety and best interests, but what if the risk is sourced in government child welfare policy or practice? Instead of including provisions to hold governments accountable for placing children in harm's way, governments and their agents are largely protected against any systemic maltreatment claims made against them. This paper describes a precedent-setting case before the Canadian Human Rights Tribunal attempting to hold the Canadian federal government accountable for its systemic failure to ensure that First Nations children are protected from maltreatment linked to inequitable federal child welfare funding on reserves. The case is a rare example using an independent judicial mechanism with the authority to make binding orders against the government and enveloping the proceedings in a public education and engagement movement. Implications of the case for child rights in Canada and abroad are discussed.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.035 | 0.023 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.009 | 0.011 |
| Insufficient payload (model declined to judge) | 0.006 | 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".