‘You just censored two native artists’: Art as antidote, resisting the Vancouver Olympics
Bibliographic record
Abstract
Abstract This article theorizes resistance in the context of the Vancouver 2010 Olympics. Drawing on the work of Powhatan-Renapé and Lenape scholar Jack Forbes, this article situates anti-Olympic resistance within the context of struggles against what Forbes refers to as ‘wétiko psychosis’. As a kind of psycho-social illness, wétiko psychosis speaks to the pervasive capitalism at work within the Olympic machine and Indigenous relationships to capitalism and the Games. In turn, it then considers the role of art, in particular the image of the thunderbird created by Kwakwakwa’kw artist and activist Gord Hill and TsuuT’ina/Nak’azdli artist and activist Riel Manywounds, in the landscape of anti-Olympic resistance. This article argues that the thunderbird stands is both an antidote and vaccination for the kinds of consumptive sickness contemporary Olympics are plagued with. Lastly, I discuss how the thunderbird’s visual presence in the Olympic archive further reinforces its power.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.017 | 0.025 |
| Scholarly communication | 0.012 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| 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".