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Record W2143096755 · doi:10.1192/bjp.187.48.s72

Implementing cognitive-behavioural therapy for first-episode psychosis

2005· article· en· W2143096755 on OpenAlexaff
Jean Addington, John Gleeson

Bibliographic record

VenueThe British Journal of Psychiatry · 2005
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
Fundersnot available
KeywordsPsychosisEarly psychosisPsychologySchizophrenia (object-oriented programming)CognitionIntervention (counseling)Cognitive behavioral therapyPsychotherapistPsychiatryCognitive therapyOutcome (game theory)Clinical psychology

Abstract

fetched live from OpenAlex

Significant symptomatic improvement after a first episode of psychosis is not matched by a similar improvement in functional outcome. Thus, increased attention has been given to psychological intervention, in particular cognitive cognitive-behavioural therapy (CBT), with the hope of enhancing functional recovery. Outcome trials of CBT for schizophrenia are few, in particular for the first episode, and have been occasionally criticised for their lack of significance compared with supportive therapies. We describe a modular CBT approach for those with a first episode of psychosis that addresses adaptation as well as both functional and symptomatic outcome and one that parallels the theoretical shift in CBT that has occurred in the last decade. Guidelines for integrating CBT into an early psychosis service are presented.

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)0.001
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.622
Threshold uncertainty score0.505

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.034
GPT teacher head0.339
Teacher spread0.304 · 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 designObservational
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

Citations44
Published2005
Admission routes1
Has abstractyes

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