Are research ethics guidelines culturally competent?
Bibliographic record
Abstract
Research ethics guidelines grew out of several infamous episodes where research subjects were exploited. There is significant international synchronization of guidelines. However, indigenous groups in New Zealand, Canada and Australia have criticized these guidelines as being inadequate for research involving indigenous people and have developed guidelines from their own cultural perspectives. Whilst traditional research ethics guidelines place a lot of emphasis on informed consent, these indigenous guidelines put much greater emphasis on interdependence and trust. This article argues that traditional guidelines are premised on relationships of equal power, and that often the researcher has more power that is not fully equalized by providing information. Where there is a relationship of unequal power, then focusing on interdependence and trust is more likely to achieve ethical safety. We illustrate this thesis by describing the detail of a research project looking at the use of interpreters, where we video-recorded live consultations and then interviewed the patient, interpreter and doctor. We conclude by suggesting that mainstream research ethics guidelines should pay more attention to the development of a trustworthy relationship between subject and researcher, and that, following the lead from clinical medicine, we should develop a culturally competent ethical framework for research on human subjects.
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How this classification was reachedexpand
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 | Research integrity Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | high |
| gpt | no category Domain: not available · Genre: Commentary About the Canadian research system: no · About a Canadian topic: no | Theoretical or conceptual | low |
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 | 0.443 | 0.690 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.008 | 0.064 |
| Scholarly communication | 0.021 | 0.029 |
| Open science | 0.006 | 0.012 |
| Research integrity | 0.024 | 0.034 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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, unvalidatedLabeled directly by 2 models reading the full record.
The models disagree on parts of this classification; every voice is preserved in the section at the end of the page.
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".