(Re)mapping the Colonized Body: The Creative Interventions of Rebecca Belmore in the Cityscape
Bibliographic record
Abstract
This article focuses on the performance work of Anishinaabeg artist Rebecca Belmore. It bridges her creative work with the living histories of the indigenous people that are part of the cities of Toronto and Vancouver. I argue that her performance work creates, records, and stores indigenous stories of place, creating a living archive. I show how the artist’s ability to use her body as a tool shifts the colonial gaze to a space that can communicate the link between the land and indigenous stories of place. In selected performances, Belmore’s body becomes a vessel, creating a visual and embodied text that narrates indigenous stories of place that confront the historical implications of space in Canada, which is colonized, racialized, and gendered. I argue that Belmore’s performance and installation work builds a geographic imagination that (re)maps the city space through her gendered, colonized body. This presence shifts the colonial gaze to challenge white settler ideologies in the occupation of space through indigenous stories of place. I argue that Belmore’s performances and installations are both the site and the sight of the colonized gendered body, which forces the viewer to be aware of the geopolitics of space.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.044 | 0.031 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".