The flexible heterotopia: Indian residential schools and the Canadian Museum of Civilization.
Bibliographic record
Abstract
This article examines the Canadian Museum of Civilization's First Peoples Hall and its treatment of Canada's Indian Residential Schools legacy. Using Michel Foucault's concept of heterotopia, it describes the capacity of the national Aboriginal exhibition to both mirror and distort reality as a means of denaturalizing everyday practices and mainstream treatments of history. It argues that although physical museum exhibits have long worked to lock Aboriginal peoples into static contexts through infrequent updating, political shifts can offer opportunities to amend Aboriginal histories according to contemporary paradigms, but they follow the exigencies of broader agendas. The article points to recent shifts at the Canadian Museum of Civilization to rebrand the museum and orient it toward Canadian history. It suggests that the museum omits contentious Aboriginal histories through abstract and cursory treatment as the Heritage Ministry funds and guides more popular accounts in line with nation-building efforts. It asks why the national museum has not made greater efforts to include more resources relating to Indian Residential Schools, including millions of documents housed in Library and Archives Canada and testimonials compiled as a result of the Indian Residential Schools Settlement Agreement and the formation of the Truth and Reconciliation Commission. The article describes alternative models for addressing the residential schools legacy in sites of public memory, including contemporary Aboriginal artwork and the Truth and Reconciliation Commission's forthcoming National Research Centre.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.036 | 0.051 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".