Perpetration, impunity, and irreconciliation in Canada's Truth and Reconciliation Commission on Indian Residential Schools
Bibliographic record
Abstract
Abstract The influence of institutional mandates on knowledge can be seen particularly clearly in the preferences and absences of truth and reconciliation commission (TRC) proceedings. A recent trend in TRCs involves a shift away from the exercise of judicial powers and the quest for justice and towards more concern with affirming the experience of victims or ‘Survivors’. Canada's TRC on Indian Residential Schools illustrates the consequences of the shift towards victim‐centrism, which left gaps in knowledge – particularly about perpetrators – that was conveyed to the commission and produced conditions of impunity for those responsible for mass harm. This impunity coalesced into irreconciliation as the commission gave voice to people who had been forgotten, marginalized, and given little chance in life, while leaving out of the picture those who had actually stolen their lives and dignity.
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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 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.044 | 0.023 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 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".