A New Era of Indigenous Research: Community-based Indigenous Research Ethics Protocols in Canada
Bibliographic record
Abstract
Indigenous communities across Canada have established principles to guide ethical research within their respective communities. Thorough cataloging and description of these would inform university research ethics boards, researchers, and scholars and facilitate meaningful research that respects Indigenous-defined ethical values. A scoping study was conducted of all relevant peer-reviewed literature and public-facing Indigenous research ethical guidelines from First Nations, Metis, and Inuit communities and organizations in Canada. A total of 20 different Indigenous research ethics boards, frameworks, and protocols were identified. Analysis resulted in three key themes: (1) balancing individual and collective rights; (2) upholding culturally-grounded ethical principles; and (3) ensuring community-driven/self-determined research. Findings demonstrate how employment of Indigenous ethical principles in research positively contributes to research outcomes.
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How this classification was reachedexpand
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 | 0.223 | 0.166 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.013 |
| Science and technology studies | 0.030 | 0.021 |
| Scholarly communication | 0.016 | 0.007 |
| Open science | 0.005 | 0.012 |
| Research integrity | 0.003 | 0.009 |
| Insufficient payload (model declined to judge) | 0.007 | 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 itClassification
machine, unvalidatedMachine predicted; the direct Gemma label and the distilled Codex classifier 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".