Stress in the sex trade and beyond: Women working in the sex trade talk about the emotional stressors in their working and home lives
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it