“That’s Where the Medicine Comes From”: Aesthetics of Anti-colonialism in Canada
Bibliographic record
Abstract
In the context of Indigenous-settler relations in Canada, this roundtable conversation confronts dominant modes, methods and frames of colonial violence from Indigenous academic, activist, and artistic perspectives. The authors are all engaged in projects and analyses informed by the desire to advocate for justice following the killing of Colten Boushie and, to a wider degree, other Indigenous victims of violence. With reference to our respective works, we describe and analyze the ways that settler mythologies misrepresent the social and political landscapes of lands claimed by Canada. We reveal the foundational nature of settler claims that lie at the centre of contemporary conflicts between Indigenous and non-Indigenous peoples, including Indigenous movements for justice. Collectively, we describe a wide array of methodologies, including film, narrative, storying, and processes of artistic production, to offer insights into Indigenous challenges to the various shapes and scales of colonial violence and to the mythologies that sustain it. In so doing, we re-centre our histories, present, and futures in ways that open up possibilities for diverse Indigenous persons to use their gifts within more just Indigenous-settler relationships.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.043 | 0.054 |
| Scholarly communication | 0.012 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".