The Ethics of Financial Incentivization for Health Research Participation Among Sex Workers in a Canadian Context
Bibliographic record
Abstract
Research incentivization with sex workers is common, yet limited guidance exists for ethical incentives practice. We undertook a critical qualitative inquiry into how researchers ( n = 17), community services staff ( n = 17), and sex workers participating in research ( n = 53) perceive incentives in a Canadian context. We employed an interpretive thematic approach informed by critical perspectives of relational autonomy for analysis. Four themes illustrate how (un)ethical use of incentives is situated in transactional micro-economies among groups experiencing severe marginalization: i) transactional research economy , ii) incentive type: assumptions and effects, iii) incentive amount: too much too little? , and iv) resistance, trauma, and research-related harm . Paternalistic assumptions about capacities of sex workers to act in their own best interests conflicted with participants’ rights and abilities for self-determination; with researchers maintaining ultimate decision-making authority. Power differentials create conditions of harm. Safe, equitable approaches concerning research incentive use must redress relations of power that perpetuate oppression.
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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 | 0.050 | 0.060 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.046 | 0.051 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| 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 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".