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Record W3080654924 · doi:10.5430/jnep.v10n12p30

The evolution of cultural competence theories in American (United States) nursing curricula: An integrative review

2020· article· en· W3080654924 on OpenAlexvenueno aff
Suzanne Alexander, Rhonda BeLue, Ashley Kuzmik, Marie Boltz

Bibliographic record

VenueJournal of Nursing Education and Practice · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsnot available
FundersNational Institute on Aging
KeywordsCurriculumCompetence (human resources)Psychological interventionPsychologyCultural competenceEssentialismNursingMedical educationPedagogyMedicineSociologySocial psychology

Abstract

fetched live from OpenAlex

INTRODUCTION: Baccalaureate nursing students develop cultural competence through curricula of theories and frameworks which evolve to reflect new knowledge, but their synthesis and impact upon health quality outcomes is not known. METHODS: A cross-platform literature review was conducted to identify innovation and use of cultural competency theories and frameworks in nursing. Optimal literature included a formal theory, pedagogy, measures, and outcomes, which were then classified and evaluated. Additional perspectives and interventions were reviewed for potential influence on curricula and impact through the lens of integrative review. RESULTS: A shift in theory from essentialism to constructivism has occurred in undergraduate curricula. Challenges to measuring outcomes have been noted. All studies reported positive outcomes but suffer from self-selection, unvalidated instruments, and little to no longitudinal data. CONCLUSIONS: Nursing students are exposed to culturally competent care via several validated and canonical frameworks, but self-efficacy and long-term impact have not been assessed.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.656
Threshold uncertainty score0.733

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.076
GPT teacher head0.487
Teacher spread0.411 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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

Citations5
Published2020
Admission routes1
Has abstractyes

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