THE INDIGENOUS EXPERIENCE: REPRESENTATIONAL SOVEREIGNTY AND RECONCILIATION IN CANADIAN URBAN SPACE
Bibliographic record
Abstract
Urban indigenous spaces may be characterized by tangible and intangible cultural phenomena including art and architecture. Following Canada’s Truth and Reconciliation Report in 2015, Canadian municipalities have pursued various paths toward inclusion of Indigenous voices in city planning. This paper examines manifestations of Indigenous cultural presence in the city of Edmonton, home to the second largest and growing urban Indigenous population in the country. In the development of a mature postcolonial civic identity, both formal and informal interventions into public space can support transformative, dialogic, cross-cultural encounters. But do civic investments in visible and discursive media promote or undermine genuine representational sovereignty and reconciliation in the ongoing context of Indigenous struggles for social and economic equity? The discussion is situated in an analytical framework including the right to the city, biopolitics and media ecology. Indigenous presence in public art and urban spaces are discussed with reference to both sanctioned or sponsored and informal, transient public art, murals, graffiti and constructions in everyday space and on sacred ground in the city. It concludes with analysis of a new, award-winning multi-media “Indigenous Experience” installation in the city’s touristic heritage park in the context of the calls to action of the Truth and Reconciliation Report of almost ten years ago.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.048 | 0.033 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".