San’yas Indigenous Cultural Safety Training as an Educational Intervention: Promoting Anti-Racism and Equity in Health Systems, Policies, and Practices
Bibliographic record
Abstract
The San’yas Indigenous Cultural Safety Training Program is an Indigenous-led, policy-driven, and systems-level educational intervention to foster health equity and mitigate the effects of systemic racism experienced by Indigenous people in health and other sectors. Currently, San’yas is being scaled-up across Canada. This article focuses on the following: (a) the pedagogical underpinnings of San’yas grounded in transformational learning principles and Indigenous knowledges; (b) the scope, reach, and scale-up of San’yas as an explicit anti-racism educational intervention; (c) its unique program delivery approaches; and (d) program evaluation trends. We discuss the insights gained from implementing San’yas over the past decade, which will be relevant for leaders and policy-makers concerned with implementing anti-racism educational interventions as part of broader system transformation.
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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 | 0.004 | 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 | 0.009 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| 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".