Cultural Loss in the Context of Indian Residential School Litigation: Exploring the Role of Tort Law as a Tool for Transformative Reparations
Bibliographic record
Abstract
The issue of restitution for sexual and physical abuse of survivors of Indian residential schools has gained litigative traction, leaving the issue of reparations for cultural loss in the shadows. This Comment explores the idea of a new tort of cultural loss to more holistically address the systematized harm experienced by Aboriginal children forced into residential schools in Canada. Based on the qualitative experiences of survivors of residential schools, this Comment suggests a taxonomy of cultural loss that may further inform efforts to use tort law as a vehicle for reparative justice. Ultimately, this tort theory demands further inquiry and scholarship, particularly from Aboriginal stakeholders, but may serve as a starting point for future reparations innovations in the face of systematic cultural violence.
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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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.038 | 0.060 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.004 | 0.013 |
| Research integrity | 0.006 | 0.012 |
| 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".