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Record W2303469920

Commentary on a framework for multicultural education.

2014· article· en· W2303469920 on OpenAlexaff
Karin Hammerich

Bibliographic record

VenuePubMed · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsCanadian Memorial Chiropractic College
Fundersnot available
KeywordsChiropracticCurriculumMulticulturalismCultural competenceMedical educationMulticultural educationPopulationMedicineHealth carePsychologyEngineering ethicsAlternative medicinePedagogyPolitical scienceEngineering
DOInot available

Abstract

fetched live from OpenAlex

Today's changing demographics require that multicultural factors be considered in the delivery of quality patient-centred health care in chiropractic. Yet minimal training in cultural competency in chiropractic education leaves graduates ill-equipped to treat a diverse population. This commentary examines cultural competency training in current literature, demonstrates frameworks for curriculum integration, and suggests how cultural competency might be included in a chiropractic college curriculum. A database search yielded little evidence that cultural competency is integrated into curricula of chiropractic schools. Some journal articles note that promoting multicultural education and cultural sensitivity is an important goal. However, they provide no mechanisms as to how this can be achieved within training programs. Thus, although an undeniable need exists for all healthcare practitioners to develop cultural competency in the face of an increasingly diverse population, cultural competency education has not kept pace. Chiropractic schools must review their curricula to develop the cultural competencies of their graduates and a basic framework is suggested.

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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.713
Threshold uncertainty score0.399

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.045
GPT teacher head0.346
Teacher spread0.302 · 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 designNot applicable
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
Published2014
Admission routes1
Has abstractyes

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