Renewal without replication: Expanding Durkheim's theory of disruptions via queer nightlife
Bibliographic record
Abstract
Gay bars are closing in large numbers around the world, but institutional loss provides only a partial narrative for evaluating the larger field of nightlife. Drawing on 112 interviews, we argue that bar closures disrupted the field and consequently encouraged the visibility of alternate nightlife forms, called club nights. Unlike the fixed and emplaced model of bars, club nights are episodic and event-based occasions that are renewing nightlife without replicating the format of the gay bar. By detailing the phenomenology of club nights, we develop a new Durkheimian theory of disruptions that explains how and why some members of a community are motivated to renew rather than replicate existing institutional structures. We bring our framework to organization, sexuality, and nightlife studies-subfields that seldom engage with Durkheim-while subjecting a foundational social theory to an empirical case that can push it forward in important ways.
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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 | 0.008 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.049 |
| Scholarly communication | 0.009 | 0.014 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".