Sex Garage: Unspooling Narratives, Rethinking Collectivities
Bibliographic record
Abstract
In the summer of 1990, Montreal’s alternative queer community came together in response to a police raid on an after-hours party, and arrests during subsequent clashes. Reviewing the video evidence that exists of the events surrounding the Sex Garage raid, as well as newspaper articles and news features, the authors found that a reductionist story had coalesced out of the multiple and varying experiences of the activisms around the incidents, spooling them into a unified narrative. In this essay, the authors unspool this singular narrative through their dialogic reflections on their different experiences of Sex Garage, and not only offer alternate stories of the events surrounding Sex Garage, but also demonstrate one attempt at rethinking the ways that the authors both tell and write the stories of their histories.
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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 | 0.010 | 0.012 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.050 | 0.088 |
| Scholarly communication | 0.019 | 0.013 |
| Open science | 0.003 | 0.019 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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".