Information and Communication Technologies in Commercial Sex Work: A Double-Edged Sword for Occupational Health and Safety
Bibliographic record
Abstract
Over the previous decade, there has been a notable shift within sex work marketplaces, with many aspects of the work now facilitated via the internet. Many providers and clients are also no longer engaging in in-person negotiations, opting instead for communications via technological means, such as through mobile phones, email, and the internet. By analysing the qualitative interviews of indoor-based providers, clients, and agency managers, this paper addresses the occupational health and safety concerns that indoor sex workers experience in the digital age, as well as how technology use can both support and hinder their capacity to promote their health and safety. Using thematic analysis, we arrived at three salient and nuanced themes that pertain to the intersection of sex work, technology use, and occupational health and safety: screening; confidentiality, privacy, and disclosure; and malice. As socio-political context can affect the occupational health and safety concerns that providers experience, as well as their capacity to prevent or mitigate these concerns, we highlight our findings in light of prevailing societal stigma and a lack of legal recognition and protections for sex work in Canada.
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 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 | 0.001 | 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 | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".