Structures last longer than intentions: creation of Ongomiizwin – Indigenous Institute of Health and Healing at the University of Manitoba
Bibliographic record
Abstract
Ongomiizwin - Indigenous Institute of Health and Healing at the University of Manitoba's Rady Faculty of Health Sciences (RFHS) was launched in June of 2017 with a mandate to provide leadership and advance excellence in research, education and health services to achieve health and wellness for Indigenous peoples and to implement the Truth and Reconciliation Commission of Canada's Calls to Action within the Faculty. The RFHS Reconciliation Action Plan has five broad themes: (1) Honoring traditional knowledge systems and practices, (2) Safe learning environments and professionalism, (3) Student support, mentorship and retention (4) Education across the spectrum and 5) Closing the gap in admissions. Community engagement is the focus of our work. Learners and practicing clinicians are grounded in the knowledge of ongoing colonial harms, engaged in critical self-reflection on one's own biases and trained to confront anti-indigenous racism in health care. This alignment is changing the health human resource landscape in northern Manitoba and beyond.
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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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.023 | 0.007 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 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; 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".