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Record W1572340757 · doi:10.1002/9781118753378.ch4

The Cultural Context of Clinical Assessment

2015· other· en· W1572340757 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

Venuenot available
Typeother
Languageen
FieldSocial Sciences
TopicCultural Competency in Health Care
Canadian institutionsMcGill University
Fundersnot available
KeywordsNegotiationAllianceCultural competencePsychologyExperiential learningPsychotherapistSocial psychologySociologyPedagogySocial science

Abstract

fetched live from OpenAlex

Careful assessment of the cultural context of psychiatric problems must form a central part of any clinical evaluation. Lack of awareness of important differences can undermine the development of a therapeutic alliance, and the negotiation and delivery of effective treatment. Exploring the cultural context and meanings of identity, illness experience and coping is an essential component of mental healthcare. It is important to inquire into explicit cultural models using the sorts of questions devised for the explanatory model interview. In the end, patients are the experts in their own experiential worlds, and cultural context must be reconstructed simultaneously from the inside out (through the patient's experience) and from the outside in (through an appreciation of the social matrix in which the patient is embedded). The cultural formulation and the basic strategies of cultural competence represent useful initial approaches to exploring clinically relevant dimensions of patients' cultural backgrounds.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.092
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.207
GPT teacher head0.543
Teacher spread0.336 · 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

Quick stats

Citations42
Published2015
Admission routes1
Has abstractyes

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