MétaCan
Menu
Back to cohort
Record W2068054543 · doi:10.1111/nin.12099

Almutairi's<scp>C</scp>ritical<scp>C</scp>ultural<scp>C</scp>ompetence model for a multicultural healthcare environment

2015· article· en· W2068054543 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNursing Inquiry · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsUniversity of British Columbia
FundersKing Abdullah International Medical Research Center
KeywordsSociocultural evolutionMulticulturalismCultural competenceHealth careCompetence (human resources)Cultural diversitySociologyPsychologyEngineering ethicsPedagogySocial psychologyPolitical scienceEngineering

Abstract

fetched live from OpenAlex

The increasing demographic changes of populations in many countries require an approach for managing the complexity of sociocultural differences. Such an approach could help healthcare organizations to address healthcare disparities and inequities, and promote cultural safety for healthcare providers and patients alike. Almutairi's critical cultural competence (CCC) is a comprehensive approach that holds great promise for managing difficulties arising from sociocultural and linguistic issues during cross-cultural interactions. CCC has addressed the limitations of many other cultural competence approaches that have been discussed in the literature. Therefore, the purpose of this study is to define the construct of CCC and the theoretical components of the CCC.

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.

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)0.002
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.100
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0030.003
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0010.001
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 head0.134
GPT teacher head0.382
Teacher spread0.248 · 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