MétaCan
Menu
Back to cohort
Record W4235138174 · doi:10.24124/2012/bpgub1166

Exploring cultural care: the development of culturally competent nurse practitioners for British Columbia's First Nations communities

2012· dissertation· en· W4235138174 on OpenAlexaboutno aff
Bryan Schultz

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsnot available
Fundersnot available
KeywordsHealth careNursingCultural competenceHealth equityCultural safetyPsychological interventionCultural diversityMedicineTranscultural nursingPolitical scienceEconomic growthSociologyPublic healthPedagogy

Abstract

fetched live from OpenAlex

Aboriginal Canadians have historically suffered from barriers to health and healthcare. Racialism, colonialism, and culturalism continue to perpetuate the barriers to healthcare that enable health disparities between aboriginal and non-aboriginal Canadians. Cultural competency is recognized as a strategy to ameliorate the effects of health inequities that exist for First Nations populations. Moreover, nurse practitioners are currently emerging as primary care providers for marginalized and underserved populations of First Nations in British Columbia and are professionally required to provide culturally competent and culturally safe healthcare. This project asks what culturally competent interventions can be used by nurse practitioners to mitigate health disparities experienced by First Nations communities in Northern British Columbia, and finds that nurse practitioners must rely on expert opinion, including the views of First Nations patients and the professional standards. --Leaf ii.

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)0.006
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical
Teacher disagreement score0.395
Threshold uncertainty score0.795

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0120.002
Scholarly communication0.0040.001
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.122
GPT teacher head0.361
Teacher spread0.239 · 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 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

Citations1
Published2012
Admission routes1
Has abstractyes

Explore more

Same topicCultural Competency in Health CareFrench-language works237,207