Enriching Canada's Health Research Landscape with Inuit Knowledge, Methods, and Transformative Spaces: Ten Policy and Practice Recommendations from Nunavut
Bibliographic record
Abstract
magine a place where inuit knowledge, critical thought, open dialogue, and innovation are the foundation of scholarship and graduate training for new and upcoming Inuit researchers.Where the brilliant minds of the Nunavut Network Environment for Indigenous Health Research (NEIHR)'s communities could convene to help shape the brilliant minds of the future.This is the vision for the Nunavut NEIHR at the Qaujigiartiit Health Research Centre in Iqaluit, Nunavut.In its first four years of operation (2019 -23), the Nunavut NEIHR has supported Inuit students and researchers to elevate Inuit epistemologies and methodologies into their scholarly activities.In this paper, we share our observations and knowledge gained from this unique learning environment that is grounded in Inuit ways of knowing, and we share 10
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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; a candidate call from one teacher head, 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".