The Night is Still Young: A Cross-Disciplinary Forum on Queer Nightlife Studies
Bibliographic record
Abstract
Since 2020, a wave of academic and trade books has brought unprecedented attention to queer nightlife. Whereas this special issue of TSQ advances queer nightlife as a site for continued study in sociology, this forum opens a conversation between ten leading scholars who have often carried out their work in distinct social science and humanities fields, including sociology, geography, ethnomusicology, performance studies, religion, and media studies. In a spirit of academic generosity, they become interlocutors who exchange stories, analytical frameworks, and investments with the goal that they might learn from each other; they bond over shared nightlife and research experiences, including ethnographic methods and attention to affect. This forum poses questions and insights that will enrich how future scholarship can build toward more rigorous, capacious, and imaginative queer methods – within and beyond sociology.
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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 | 0.023 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.046 | 0.023 |
| Scholarly communication | 0.020 | 0.015 |
| Open science | 0.002 | 0.019 |
| Research integrity | 0.009 | 0.011 |
| Insufficient payload (model declined to judge) | 0.012 | 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 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".