On Exiting from Commercial Sexual Exploitation: Insights from Sex Trade Experienced Persons
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
As a woman who exited after seven years in licensed commercial sexual exploitation in Canada, I share my reflections on my experience, which led to the development of the Insights from Sex Trade Experienced Persons (InSTEP) Model. The model was constructed based on interviews with “service providers” in the sex trade. Twelve exited women share their experiences inclusively. InSTEP is geared toward a population of quasi-autonomous providers who have alternate economic options. Three levels are introduced in the InSTEP model to describe the continuum of agency among service providers; Level 1: trafficked/controlled; Level 2: quasi-autonomous; Level 3: autonomous. The InSTEP Model focuses on Level 2 providers and identifies optimal times when helping professionals or agencies could be most effective in offering exit support. Opportunities for change are contextualized within Maslow’s Hierarchy of Needs (1943) and the Prochaska and DiClemente’s (1983) Stages of Change.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it