‘We all have one’: exit plans as a professional strategy in sex work
Bibliographic record
Abstract
The idea of ‘exiting’ the sex industry plays a powerful symbolic role in the feminist debates around the morality, legitimacy and regulation of sex work. Drawing on interviews with 39 women sex workers in Australia and Canada, we explore three key contrasts between dominant narratives and interventions that frame ‘exiting’ as escape from trauma or exploitation, and sex workers’ assessments of ‘exiting’ as a personal or professional strategy. First, we explore sex workers’ perceptions of sex work as temporary work. Second, we analyse the symbiosis between exit plans and current work practices. Third, we examine workers’ assessment of the value of ‘exiting’ sex work in the context of changing market forces within the sex industry, the ‘square’ labour market (or non-sex work sectors) and exiting interventions (i.e. programmes to assist workers in leaving sex work).
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.055 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 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".