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Record W2043883897 · doi:10.1353/hpu.2014.0132

The Development of the DSM-5 Cultural Formulation Interview-Fidelity Instrument (CFI-FI): A Pilot Study

2014· article· en· W2043883897 on OpenAlex
Neil Krishan Aggarwal, Andrew G. Glass, Amilcar Tirado, Marit Boiler, Andel Nicasio, Margarita Alegrı́a, Melanie Wall, Roberto Lewis‐Fernández

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

VenueJournal of Health Care for the Poor and Underserved · 2014
Typearticle
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsColumbia College
FundersNational Institute of Mental HealthNew York State Office of Mental Health
KeywordsFidelityPsychologyCultural competenceApplied psychologyCompetence (human resources)DSM-5Clinical psychologyMedical educationSocial psychologyMedicineComputer sciencePedagogy

Abstract

fetched live from OpenAlex

This paper reports on the development of the Cultural Formulation Interview-Fidelity Instrument (CFI-FI) which assesses clinician fidelity to the DSM-5 Cultural Formulation Interview (CFI). The CFI consists of a manualized set of standard questions that can precede every psychiatric evaluation. It is based on the DSM-IV Outline for Cultural Formulation, the cross-cultural assessment with the most evidence in psychiatric training. Using the New York sample of the DSM-5 CFI field trial, two independent raters created and finalized items for the CFI-FI based on six audio-taped and transcribed interviews. The raters then used the final CFI-FI to rate the remaining 23 interviews. Inter-rater reliability ranged from .73 to 1 for adherence items and .52 to 1 for competence items. The development of the CFI-FI can help researchers and administrators determine whether the CFI has been implemented with fidelity, permitting future intervention research.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.868
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 head0.148
GPT teacher head0.407
Teacher spread0.260 · 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