Queer Antiracist Vigilance: Pinkwatching ‘Queer Investments’ in State Racist Violence
Bibliographic record
Abstract
This article critically investigates the ways in which racialized queers (and their politics) are naturalized as abandonable and disposable vis-a-vis (predominantly white) queers who are regenerated as vital citizen-subjects (worthy of state protection) by focusing on the vigilant radical critiques of racialized queers to state violence. Specifically focusing on images from Toronto’s LGBTQ Pride parade, the author places a critical spotlight on the homo-nationalist politics of inclusion of LGBTQ into state formations of citizenship through antiracist queer protests against state racism and racism within the LGBTQ community. In so doing, the essay attends to a broader questioning of which non-normative subjects and populations are constructed as ‘too queer’ to matter within Western frameworks of gender and sexual intelligibility.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".