Educating Aboriginal Nursing Students: Responding to the Truth and Reconciliation Report
Bibliographic record
Abstract
A 2015 Canadian report from the Truth and Reconciliation Commission issued two calls for action that specifically challenge nursing education programs: a call to incorporate indigenous knowledge and learning, and a call to reduce health disparities between aboriginals and non-aboriginals. These calls to action raise questions for nurse educators regarding how best to recruit, retain, and educate aboriginal nursing students. A literature review was conducted to examine issues faced by aboriginal students in nursing programs, as well as cultural competence with nurse educators working with aboriginal students. While there is some literature that addresses the need for aboriginal students to successfully complete nursing programs and thus be able to provide effective health care to aboriginal people, the emphasis is largely upon strategies. Although there are some exceptions, these have largely been ineffective. We argue the need to think about thinking in order to improve the effectiveness of these strategies within Canadian programs, as well as nursing programs abroad.
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 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".