Trauma and survivance: The impacts of the COVID‐19 pandemic on Indigenous nursing students
Bibliographic record
Abstract
The COVID-19 pandemic has resulted in tremendous educational and health impacts for Indigenous peoples and communities. Yet, little is known about the impacts of the pandemic on Indigenous nursing students in Canada. Guided by an Indigenous conceptual framework and a qualitative sharing circle methodology, the interconnected personal, academic, and community impacts of the pandemic were explored with Indigenous nursing students (n = 17). Overall, the pandemic exacerbated and compounded prior traumas Indigenous students and communities have experienced across generations on Turtle Island. Participants suffered worsening psychological distress and significant losses during the pandemic, especially losses in learning and cultural safety. However, the pandemic also revealed silver linings including: the benefits of online learning; and demonstrations of posttraumatic growth, survivance, and community strength. These findings are relevant to informing culturally safe and trauma-informed strategies, policies, administrators, and educators in schools of nursing.
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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 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".