Exploring Clients’ Expectations of the Physical and Procedural Aspects of Sex Workers’ Services and the Resulting Impact on Sex Workers
Bibliographic record
Abstract
Background: Currently in Canada, sex work is criminalized under Bill C-36. Since sex work is not considered legal work, it has been underresearched as a form of labour. Researching sex work as a form of labour would further the understanding sex workers’ work environments and needs within a labour context. Aims: The aim of this study was to uncover what clients’ expectations of the physical and procedural aspects of sex workers’ services are, how these expectations are formed, and how these expectations impact sex workers. Methods: Data was collected from an online discussion/review board called TERB (Toronto Escort Review Board) and was analyzed using the qualitative thematic analysis method. Results: The findings suggested that clients and sex workers tended to have conflicting expectations of the physical and procedural aspects of sex workers’ services and that clients in the TERB community often relied on client reviews to form their expectations. Clients also formed their expectations based on the expectations they had of other non-sex work services, their own desires, and their knowledge of the law. Client expectations tended to have various negative impacts on sex workers and this highlighted the importance of having formal established rules, boundaries, and procedures in place in order to manage these expectations.
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.
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 | 0.022 | 0.040 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| 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".