Sustaining Cultural Genocide—A Look at Indigenous Children in Non-Indigenous Placement and the Place of Judicial Decision Making—A Canadian Example
Bibliographic record
Abstract
The Truth and Reconciliation Commission has called upon Canada to engage in a process of reconciliation with the Indigenous peoples of Canada. Child Welfare is a specific focus of their Calls to Action. In this article, we look at the methods in which discontinuing colonization means challenging legal precedents as well as the types of evidence presented. A prime example is the ongoing deference to the Supreme Court of Canada decision in Racine v Woods which imposes Euro-centric understandings of attachment theory, which is further entrenched through the neurobiological view of raising children. There are competing forces observed in the Ontario decision on the Sixties Scoop, Brown v Canada, which has detailed the harm inflicted when colonial focused assimilation is at the heart of child welfare practice. The carillon of change is also heard in a series of decisions from the Canadian Human Rights Tribunal in response to complaints from the First Nations Child and Family Caring Society of Canada and the Assembly of First Nations regarding systemic bias in child welfare services for First Nations children living on reserves. Canadian federal legislation Bill C-92, “An Act respecting First Nations, Inuit and Métis children, youth and families”, brings in other possible avenues of change. We offer thoughts on manners decolonization might be approached while emphasizing that there is no pan-Indigenous solution. This article has implications for other former colonial countries and their child protection systems.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.049 | 0.045 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".