Try Bravery for a Change: Supporting Indigenous Health Training and Development in Canadian Universities
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
The persistence of egregious inequities signals that we are at a critical juncture regarding the health of Canada’s Indigenous peoples. Now is the time to seriously reflect on the relationships between Indigenous realities, public policy, and the role of Indigenous research environments therein. Addressing the complexity of contemporary Indigenous health inequity requires a fundamental reorientation in the ways we conduct and think about research. This commentary explores the transition currently taking place in Indigenous health training and development in Canadian universities, with a focus on Ontario’s Indigenous Mentorship Network. At the heart of the Ontario Network is the Anishinabe philosophy Mno Nimkodadding Geegi (“We Are All Connected”). In our attempts to address Indigenous health inequality in Canada, we take the perspective that the most important answers will come when we take the time to listen to Indigenous communities. This commentary closes with a discussion on bravery. Just as Indigenous scholars push to make space for their scholarship within the university environments, so too must our institutions have the bravery needed to address the structural changes required to foster that success.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it