Bibliographic record
Abstract
Academia’s deep connections with artworld capitalist structures must be altered if we are truly to decolonize art history. Interrogating the predicament of university adjuncts teaching art history, this chapter engages Christine Delphy’s argument regarding hidden eddies of capitalist exploitation within patriarchal racism and Tina M. Campt’s theory of the politics of refusal, contending that the university is a space that egregiously enforces capitalist practices of coloniality’s sexism and racism. Drawing on my own experiences, I discuss Aboriginal Australian photographer and filmmaker Tracey Moffatt’s series of 19 photogravures Laudanum , and Indigenous American (Crow) photographer Wendy Red Star’s photograph Last Thanks , before turning to focus in-depth on Canadian First Nations (Mohawk Bay of Quinte) photographer and filmmaker Shelley Niro’s photographic works Ghosts, Girls, Grandmas (2004), The Rebel (1982/1987), and The Shirt (2003). In Niro’s work, I elucidate resistance to coloniality’s entanglement with capitalism. Her portraits of her mother, who cleaned houses and picked tobacco, evince feminist resistance as a family tradition, giving vivid presence to resistance to capitalist colonialist social violence. Similarly, in their role as barely compensated intellectual laborers, adjuncts in art history occupy a threshold space urgently needful of decolonization addressed through revising capitalism.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.065 |
| Scholarly communication | 0.019 | 0.012 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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".