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Record W2052629722 · doi:10.1002/cpp.624

Emotion‐focused therapy in a case of anorexia nervosa

2009· article· en· W2052629722 on OpenAlexaff
Joanne Dolhanty, Leslie S. Greenberg

Bibliographic record

VenueClinical Psychology & Psychotherapy · 2009
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsYork UniversityCredit Valley Hospital
Fundersnot available
KeywordsEating disordersPsychologyAnorexia nervosaPsychotherapistCoping (psychology)AnorexiaClinical psychologyMedicine

Abstract

fetched live from OpenAlex

Abstract An emotion‐focused approach to the treatment of eating disorders and to case formulation is described in an individual with anorexia nervosa (AN). The basic theory of emotion‐focused therapy (EFT), the steps of case formulation and an outline of the tasks and course of treatment of an individual recently hospitalized on an inpatient unit for eating disorders highlight key aspects of the approach. The transformation in this individual, in terms of gaining access to her internal experience, understanding and tolerating her emotions, and working through her core themes of insecure attachment and worthlessness, is described. Weight and scores on self‐report measures at the outset of treatment and at 18 months are provided. Copyright © 2009 John Wiley & Sons, Ltd. Key Practitioner Message: Guidelines for treating eating disorders are tenuous and new approaches showing promise must be developed. Emotion‐focused therapy (EFT) shows promise in the treatment of eating disorders. Description of the case shows the application of EFT to anorexia nervosa and illustrates the change in the individual in terms of recognizing and coping with emotional experience.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.598
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.134
GPT teacher head0.497
Teacher spread0.363 · 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 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

Citations128
Published2009
Admission routes1
Has abstractyes

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