Good intentions and dangerous assumptions: Research ethics committees and illicit drug use research
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
Illicit drug users are frequently identified as a ‘vulnerable population’ requiring ‘special protection’ and ‘additional safeguards’ in research. However, without specific guidance on how to enact these special protections and safeguards, research ethics committee (REC) members sometimes fall back on untested assumptions about the ethics of illicit drug use research. In light of growing calls for ‘evidence-based research ethics’, this commentary examines three common assumptions amongst REC members about what constitutes ethical research with drug users, and whether such assumptions are borne out by a growing body of empirical data. The assumptions that form the focus of this commentary are as follows: (i) drug users do not have the capacity to provide informed consent to research; (ii) it is ethically problematic to provide financial incentives to drug users to participate in research; and (iii) asking drug users about their experiences ‘re-traumatizes’ and ‘re-victimizes’ them.
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.
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 | 0.388 | 0.601 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.005 | 0.016 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.126 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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