Healing Heritage: New Approaches to Commemorating Canada’s Indian Residential School System
Bibliographic record
Abstract
In anticipation of the Final Report of the Truth and Reconciliation Commission of Canada, this thesis examines Canada's federal place-based heritage infrastructure and critiques the policy and practice of the Historic Sites and Monuments Board of Canada (HSMBC) relative to its engagements with the history of Indian residential schools (IRS) and difficult heritage in general. Interpreting IRS Survivor-led commemoration and heritage practices as healing and decolonizing, and drawing on art-as-resistance and social activism-oriented models of commemoration and counter-commemoration, I examine alternative approaches to collective remembering and forgetting within the context of genocide, atrocity, and historic trauma. I argue for a needed shift from dominant heritage paradigms that bind heritage with conservation, to emergent approaches that recognize heritage as a healing practice. In conclusion, I present a series of recommendations to move toward bridging the gap between state practices of heritage, and the needs of Survivors and other IRS stakeholders.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".