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Record W2134176976 · doi:10.1177/0011000007303633

Counseling Psychology and Culturally Competent Health Care

2007· article· en· W2134176976 on OpenAlexaff
Steven J. Danish, Tanya Forneris, Kathryn Wilder Schaaf

Bibliographic record

VenueThe Counseling Psychologist · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsQueen's University
Fundersnot available
KeywordsCultural competencePsychologyHealth careCompetence (human resources)Health care deliveryCultural diversityCulturally sensitiveNursingPedagogySocial psychologyMedicineSociology

Abstract

fetched live from OpenAlex

Addressing health care disparity and working toward a culturally sensitive and competent health care delivery system is a monumental task that calls for social and cultural change. As Herman and colleagues note in this issue, counseling psychologists have contributed greatly to the area of cultural competence and may be capable of taking on a number of roles that can lead to these changes. However, if counseling psychologists are to be part of the solution, they face a number of challenges. In this reaction article, the authors identify a number of issues related to the creation of a culturally sensitive health care system, including the definition of cultural competence, access to health care, the context of health care delivery, and reactions to the model of patient-centered cultural sensitive health care proposed by Tucker and colleagues in this issue.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.822
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.055
GPT teacher head0.426
Teacher spread0.371 · 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.

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

Citations4
Published2007
Admission routes1
Has abstractyes

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