Money, Agency, and Self-Care among Cisgender and Trans People in Sex Work
Bibliographic record
Abstract
Many qualitative studies about the exchange of sex for money, drugs, and less tangible outcomes (i.e., social status) contend that this activity contributes to high levels of internalized stigma among people in sex work. The cis (n = 33) and trans people (n = 5) who participated in our project about health, violence, and social services acknowledged the stigma associated with sex work but were not governed by the dominant discourse about its moral stain. They shared nuanced insights about the relationship between sex work and self-respect as people who use their earnings to mitigate the struggles of poverty and ongoing drug use, and care for themselves more broadly. This study sheds new light on the ways that cis and trans people negotiate issues of money, agency, and self-care, contributing to the literature on consensual sex work that examines different aspects of stigma, safety, and health with a nuanced, non-binary gender analysis.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.011 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 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".