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Record W2421827623 · doi:10.1177/1049731516652730

The Cultural Competency for Working With Asian American Clients Scale

2016· article· en· W2421827623 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

VenueResearch on Social Work Practice · 2016
Typearticle
Languageen
FieldPsychology
TopicCounseling Practices and Supervision
Canadian institutionsMcGill University
Fundersnot available
KeywordsCultural competenceSocial workPsychologyCompetence (human resources)Asian americansPreparednessScale (ratio)Construct validityMedical educationCultural sensitivityCultural diversityApplied psychologyNursingPsychometricsSocial psychologyMedicineClinical psychologyEthnic groupPedagogySociologyPolitical science

Abstract

fetched live from OpenAlex

Objectives: Many Asian Americans tend to report receiving lower quality services from direct service providers. Improving the cultural competence of social workers and other professionals who work with Asian Americans may address this dissatisfaction. To date, there are few tools to help educators and supervisors evaluate the level of cultural competence of social workers and other health professionals. This study reports on the development and testing of a cultural competence measure to evaluate social workers’ preparedness for working with Asian American clients. Method: Based on a sample of 294 student social workers, the final 29-item instrument is a reliable and valid tool. Results: The instrument shows strong content validity according to expert panelists, robust reliability, excellent model fit, and preliminary evidence of construct validity. Conclusion: The validated Cultural Competency with Asian American Clients Scale could be used by social work educators in planning courses and assessing student readiness for work with Asian Americans.

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)0.004
metaresearch head score (Gemma)0.002
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: none
Teacher disagreement score0.942
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.182
GPT teacher head0.499
Teacher spread0.317 · 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