Exploring the role of place in sex work through participant photography
Bibliographic record
Abstract
In this article, the authors explore the place-based experiences of sex workers and how these experiences intersect with the juridical realm of sex work. The article begins with an overview of the model informing Canadian legislation, how these laws influence spatial practices, and the impact of these practices on the lives of sex workers. Drawing on findings from a visual research study where 15 sex workers used photography and art to explore their lived experiences, the authors describe how sex work places are shaped by their juridical contexts, influencing experiences of power and privilege, collaboration, identity, stigma, autonomy, safety and support services. These findings highlight that place is a critical factor shaping participants’ overall experiences in the sex industry and contributes to the disparate realities of sex work in the Canadian context. Participant photographs are also described in this article, as these visual representations further communicate the role of place as experienced and understood by sex workers. Recommendations include legislative considerations, inclusive service delivery practices as identified by participants, and a call for further research that examines place-based experiences of sex work on an international scale.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.007 | 0.010 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".