Research governance in NunatuKavut: engagement, expectations and evolution
Bibliographic record
Abstract
Some of the world's most southern Inuit populations live along central and the southeastern coast of Labrador in the territory of NunatuKavut and are represented by the NunatuKavut Community Council (NCC). Southern Inuit and NCC staff have been actively collaborating with researchers and research ethics boards since 2006 on research ethics and the governance of research in NunatuKavut. As self-determining peoples, Southern Inuit, like many Indigenous communities, are reclaiming control of research through a number of highly effective community consent contracts and ethical review processes and protocols. These community-driven research agreements have both shaped, and been shaped by, academic writings on the issue of collective consent to research. This case report describes the evolution of NCC research governance from 2006 to 2018, emphasising the ethics and engagement that is required to conduct research with Southern Inuit or within the territory of NunatuKavut.
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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 | 0.027 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.020 | 0.021 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".