Reconciling for a culturalized past: The collective memory of Indigenous residential schools in Toronto's Nathan Phillips Square
Bibliographic record
Abstract
Since 2011, the City of Toronto has been co-implementing place-making efforts in Nathan Phillips Square with Indigenous communities, people, and organizations that holistically acknowledge the historical presence of Indigenous people and promote their resilience and vibrant contemporary existence. Using autoethnographic work, metaphors established in collective memory studies, and interviews with relevant actors, I argue that Torontos reconciliation strategy through these initiatives operates within culturalist and multiculturalist praxes, producing a legitimate Indigenous subjectivity according to a past chiefly characterized by cultural genocide. Although the resulting reconciliatory relationship between the municipality and Indigenous people is premised on accepting and equitably including the latter in history-making and memory-preserving processes, thereby resolving Torontos memory and identity crisis between multiculturalism and settler colonialism, it limits possible ways of creating and changing discourses about Indigenous experiences, histories, and voices. They become constrained within a politics of recognition, reinforcing cultural recognition as the primary means for reconciliation.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.035 | 0.015 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| 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".