Troubling the Path to Decolonization: Indian Residential School Case Law, Genocide, and Settler Illegitimacy1
Bibliographic record
Abstract
Abstract In this paper, I argue that Indian Residential School (IRS) litigation, and the emphasis on “cultural loss” or genocide, threatened to expose the illegitimacy of Canada’s claim to sovereignty and the settler collective’s occupancy of Indigenous lands today. When settler illegitimacy is brought into view, settler collectives typically respond with violence. In IRS case law, this violence consists of the dehumanization of the Indigenous collective as property. I trace this violence on the part of Canada (government and law) in Blackwater v Plint (1996–2005). I suggest that Canada’s “disturbing defence strategy” in Blackwater likely contributed to Canada’s signing of the 2006–2007 IRS settlement agreement that brought Baxter v Canada to a close. I conclude that settler illegitimacy, genocide, and law’s racialized violence in the present ought to trouble the settler collective’s vision of both decolonization and the role of settler law in decolonization.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.051 | 0.060 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.007 | 0.013 |
| 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".