Are We Asking the Right Questions? A Review of Canadian REB Practices in Relation to Community-Based Participatory Research
Bibliographic record
Abstract
Access barriers to effective ethics review continue to be a significant challenge for researchers and community-based organizations undertaking community-based participatory research (CBPR). This article reports on findings from a content analysis of select (Behavioural, Biomedical, Social Sciences, Humanities) research ethics boards (REBs) in the Canadian research context (n = 86). Existing ethics review documentation was evaluated using 30 CBPR related criteria for their sensitivity to relevant approaches, processes, and outcomes. A linear regression was conducted to determine whether specific organizational characteristics have an impact on the CBPR sensitivity: (1) region of Canada, (2) type of institution (university or a healthcare organization), (3) primary institutional language (English or French) and (4) national ranking with respect to research intensiveness. While only research intensiveness proved statistically significant (p = .001), we recognize REB protocol forms may not actually reflect how CBPR is reviewed. Despite using a single guiding ethical framework, REBs across Canada employ a variety of techniques to review research studies. We report on these differences and varying levels of sensitivity to CBPR. Finally, we highlight best practices and make recommendations for integrating CBPR principles into existing ethics review.
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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 | Metaresearch Domain: Methods · Genre: Review About the Canadian research system: yes · About a Canadian topic: yes | Systematic review | high |
| gpt | Metaresearch Domain: Methods · Genre: Review About the Canadian research system: yes · About a Canadian topic: yes | Systematic review | high |
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 | 0.116 | 0.232 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.021 | 0.040 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| 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 itClassification
machine, unvalidatedLabeled directly by 2 models reading the full record.
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".