The Most Unwelcoming ‘Outstanding Welcome’: Marginalized Communities and Museums and Contemporary Art Spaces
Bibliographic record
Abstract
In this article, Syrus Marcus Ware interrogates the rhetorical moves by arts institutions and academic programs that increasingly espouse the language of inclusion and position themselves as welcoming public spaces for marginalized people in Canada, arguing that instead a deep ‘unwelcomeness’ continues to pervade these spaces. Ware recites three different incidents of violence and hostile ignorance: in the university setting, in a supposedly safe housing space for individuals with disabilities, and in a job interview for a large arts institution. Through these three telling anecdotes, Ware confronts the interrelated anti-Black racism, ableism, and transphobia entrenched in Canadian cultural institutions and policing cultures. Ware concludes with a refusal to wait for “the welcome mat” in a society so determined by white supremacist structures, instead calling for the creation of social justice communities for Indigenous resurgence, Black liberation, and self-determination.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.019 | 0.051 |
| Scholarly communication | 0.019 | 0.007 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.003 | 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".