Stress in the sex trade and beyond: Women working in the sex trade talk about the emotional stressors in their working and home lives
Bibliographic record
Abstract
There is an extensive body of research literature on female sex trade workers’ risks of sexually transmitted infections including the human immunodeficiency virus (HIV). We also have a vast literature on the physical assaults and violence experienced by female sex trade workers while working. However, we know relatively little about other aspects of the women's health, and especially the ways in which social relations within both their working and private lives affect their emotional health. This qualitative research, which is based on 68 semi-structured interviews with female sex trade workers who work in a variety of different settings, describes and examines the emotional stressors in female prostitutes lives, and shows how stressors permeate both their working and home lives. Although some of the women utilize various strategies to reduce the stressors and are not simply victims of their circumstances and the conditions that shape their lives, their stories point to a clear opening for a critical public health to support the development of programmes and policies that might respond to these issues and improve the health and well-being of many women who work in the industry.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.008 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".