What Women Who Use Drugs Have to Say about Ethical Research: Findings of an Exploratory Qualitative Study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Drug users are generally seen as a vulnerable population requiring special protection in research; however, to date there has been little empirical research into the ethics of research with illicit drug users. Moreover, the available research has tended to treat "drug users" as a homogeneous category, and has failed to consider potential gender differences in users' experiences. Drawing on focus groups with twenty-seven female drug users in Vancouver, Canada, this study examines women's experiences of research and what they see as ethical and respectful engagement. Many study participants talked about feeling dehumanized as a result of prior research participation. Women were critical of the assumption that drug users lack the capacity to take part in research, and affirmed the appropriateness of financial incentives. A variety of motivations for research participation were identified, including a desire for financial gain and altruistic concerns such as a desire to help others. These findings suggest that women drug users' views on ethical research differ from prevailing assumptions among institutional review boards about how research with such populations should proceed.
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Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | Metaresearch Domain: Methods · Genre: Empirical About the Canadian research system: no · About a Canadian topic: yes | Qualitative | high |
| gpt | MetaresearchScience and technology studies Domain: Methods · Genre: Empirical About the Canadian research system: no · About a Canadian topic: yes | Qualitative | high |
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 | 0.583 | 0.579 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.010 | 0.007 |
| Science and technology studies | 0.002 | 0.012 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.004 | 0.141 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it