“It Is Important for Everyone as Humans to Feel Important, Right?” Findings from a Community-Based Participatory Needs Assessment with Street-level Sex Workers
Bibliographic record
Abstract
A community-based participatory research design informed the development and conduct of a needs assessment with street-level sex workers within a mid-sized city in Ontario, Canada. The research question was: What would help street-level sex workers to live with enhanced safety and dignity within their community? Twenty-four women who accessed a peer-driven drop-in center (SafeSpace) participated in in-depth interviews. Observational data of items requested by women who accessed SafeSpace were also documented over a 6-month time period. The overarching theme of relationships was identified as vital to participants' ability to live and work with enhanced safety and dignity in their community. Subthemes included: Informal/formal surveillance: Relationships to public space(s); Nowhere to go for us: Relationships with/in community services; and You're given the time you need: Relationships in a peer-driven drop-in center for/with/by sex workers. Our findings demonstrate how central relationships are, particularly peer, to enhancing or diminishing sex workers' sense of dignity, self-worth, safety, and enhanced their access to services.
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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 | 0.024 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.013 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".