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Record W4407605753 · doi:10.17483/2368-6669.1457

Resilience Among Indigenous Graduate Nursing Students: A Scoping Review

2025· review· en· W4407605753 on OpenAlexvenueno aff
Monique Sedgwick, Chloe Crosschild, Noelle Rohatinsky, David Scott

Bibliographic record

VenueQuality Advancement in Nursing Education - Avancées en formation infirmière · 2025
Typereview
Languageen
FieldPsychology
TopicResilience and Mental Health
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousResilience (materials science)NursingMedical educationPsychologyMedicineSociologyEcologyBiology

Abstract

fetched live from OpenAlex

Aim: The aim of this scoping review was to systematically assemble, examine, and map the extant literature pertaining to the resilience among Indigenous nursing students in graduate programs. Background: Although graduate preparation for health care professionals positively influences the health outcomes of recipients of care through participation in decision-making, advanced practice roles, education, policy development, and research, colonial frameworks present in the form of institutional or program-related barriers limit the number of Indigenous students to access graduate nursing programs. Moreover, entrenched Euro-Western epistemology and ontology that privilege certain knowledges and ways of knowing reinforce the understanding of resilience as being outcomes-based. Resilience among Indigenous Peoples, however, embraces ideas of transformation and adaptation that incorporate complex social dynamics and interpersonal processes that foster movement towards well-being, healing, and growth. Design: A scoping review was conducted using the Arksey and O’Malley (2005) and the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-analyses Extension for Scoping Reviews) framework (Moher et al., 2009) guided the reporting. Method: Six databases were searched for relevant articles by a health sciences librarian. This was supplemented by hand searches and internet searches for grey literature. A total of 708 results published between 2000 and 2023 were retrieved from the six database searches. Following title and abstract screening, a total of 88 full-text articles were independently reviewed, resulting in two items for inclusion in the study. Results: Two themes were identified from the review that may tangentially influence resilience among Indigenous graduate nursing students: identity and biculturalism. Gaps in the literature included limited global literature on resilience; no exploration of the explicit experience of resilience; study samples and populations frequently merging Indigenous students with marginalized students and Black and other racialized students, making it difficult to link findings with specific groups of participants; and reporting of support program development and evaluation of these programs. Conclusion: This review highlighted that research on Indigenous graduate nursing students’ experience of resilience is lacking. Moreover, concepts such as biculturalism perpetuate a dichotomous and colonial understanding of Indigenous graduate nursing students’ experience of resilience. Relevance to universities and nursing education programs: While strategies such as transition programs and talking circles are valuable as initial steps, governance approaches that produce program- and university-wide policies must be reconceptualized. While inclusion policies benefit student completion and retention rates, these policies do little to transform the academy. We suggest an Indigenous board of governors comprising Elders, local

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.028
metaresearch head score (Gemma)0.090
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.030
Threshold uncertainty score0.150

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0280.090
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0300.022
Science and technology studies0.0030.002
Scholarly communication0.0060.006
Open science0.0020.004
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.102
GPT teacher head0.571
Teacher spread0.469 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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