‘Business before pleasure’: the golden rule of sex work, payment schedules and gendered experiences of violence
Bibliographic record
Abstract
A widespread rule of sex work is that payment occurs before service provision. Drawing on a subset of data collected as part of an ethnographic study conducted in metro Vancouver, Canada, this paper explores the temporal and gendered connections between payment and financial violence in a semi-criminalised indoor sex industry. A detailed examination of the timing of payment with 51 independent indoor sex workers reveals the gendered nature of the violence and its direct connection to anti-violence strategies indoor sex workers employ. We found that women (including transgender women) (n = 26) and men (n = 25) use payment schedules to minimise potential violence, but in divergent ways. Sex workers adhere to, negotiate and reject the golden rule of payment in advance based on different experiences of gendered violence. Through a gendered relational analysis, we show the contextual relationship between men and women as they negotiate payment schedules in their sex work interactions. These findings offer insight into the significance that the timing of payment has in sex workers' anti-violence practices.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.013 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".