Success Strategies That Support First Nations Students in Undergraduate Nursing Programs
Bibliographic record
Abstract
BACKGROUND: A strategy that may improve health outcomes for First Nations Peoples is to have greater representation of First Nations Peoples within the health care workforce. There are systemic issues within higher education institutions that impact recruitment, retention, and academic progression of First Nations nursing students entering and completing undergraduate programs, which contributes to a higher rate of attrition compared to their non-First Nations counterparts. PURPOSE: To establish what strategies support First Nations students to succeed within undergraduate nursing programs. METHOD: A scoping review of 5 databases was utilized. RESULTS: Eight papers were included in the review. Reflexive thematic analysis resulted in 4 themes: (1) social learning environments, (2) culturally safe places (3) embracing support, and (4) external impacts. CONCLUSION: Despite positive actions, attrition rates and prolonged course lengths continue to impact course progression for First Nations nursing students.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.005 | 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 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".