“Walking along beside the Researcher”: How Canadian REBs/IRBs are Responding to the Needs of Community-Based Participatory Research
Bibliographic record
Abstract
Research ethics boards and institutional review boards (REBs/IRBs) have been criticized for relying on conceptions of research that privilege biomedical, clinical, and experimental designs, and for penalizing research that deviates from this model. Studies that use a community-based participatory research (CBPR) design have been identified as particularly challenging to navigate through existing ethics review frameworks. However, the voices of REB/IRB members and staff have been largely absent in this debate. The objective of this article is to explore the perspectives of members of Canadian university-based REBs/IRBs regarding their capacity to review CBPR protocols. We present findings from interviews with 24 Canadian REB/IRB members, staff, and other key informants. Participants were asked to describe and contrast their experiences reviewing studies using CBPR and mainstream approaches. Contrary to the perception that REBs/IRBs are inflexible and unresponsive, participants described their attempts to dialogue and negotiate with researchers and to provide guidance. Overall, these Canadian REBs/IRBs demonstrated a more complex understanding of CBPR than is typically characterized in the literature. Finally, we situate our findings within literature on relational ethics and explore the possibility of researchers and REBs/IRBs working collaboratively to find solutions to unique ethical tensions in CBPR.
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How this classification was reachedexpand
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 | 0.678 | 0.673 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.016 | 0.020 |
| Science and technology studies | 0.011 | 0.013 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.008 | 0.003 |
| Research integrity | 0.002 | 0.146 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".