Zaagi’idiwin, Mnaadendiwin: love, respect through the creation of new respect online Indigenous cultural safety program
Bibliographic record
Abstract
There have been increasing calls for cultural safety training in recent years, but it is not a new concept. We outline the developmental process used to create an intensive online Indigenous cultural safety training led by Indigenous Peoples. We describe the process and framework developed with the Indigenous Content Committee for creating this online program that includes 24 hours of content, and the final course structure and administration. The objective of the cultural safety course was to address systemic anti-Indigenous racism with a focus on improving culturally sensitive communication, effective collaboration, and respectful community engagement among students, staff and faculty in medicine, nursing, social work, public health, and education. Evaluations of the course outcomes have been reported in detail elsewhere, but the course was positively received and participants demonstrated increased knowledge, understanding, and feelings of responsibility. The course design that resulted from this process was reported to be impactful on participants personally and academically, but it must be recognized that cultural safety is a lifelong journey and should not end here.
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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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.024 | 0.003 |
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".