A New Era of Indigenous Research: Community-based Indigenous Research Ethics Protocols in Canada
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
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.
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.
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: Empirical About the Canadian research system: yes · About a Canadian topic: yes | Theoretical or conceptual | low |
| gpt | Science and technology studies Domain: not available · Genre: Empirical About the Canadian research system: yes · About a Canadian topic: yes | Qualitative | low |
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 | 0.401 | 0.040 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.005 | 0.014 |
| Science and technology studies | 0.041 | 0.007 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.006 | 0.000 |
| Research integrity | 0.002 | 0.119 |
| 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 it