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Record W1978578760 · doi:10.1002/erv.443

Clinician stance in the treatment of chronic eating disorders

2001· article· en· W1978578760 on OpenAlexaff
Josie Geller, Kim Williams, Suja Srikameswaran

Bibliographic record

VenueEuropean Eating Disorders Review · 2001
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsSt. Paul's HospitalUniversity of British Columbia
Fundersnot available
KeywordsEating disordersMotivational interviewingAnorexia nervosaPsychologyAmbivalenceAlliancePsychiatryPsychotherapistPopulationClinical psychologyIntervention (counseling)MedicineSocial psychology

Abstract

fetched live from OpenAlex

Abstract Long‐term outcome studies of anorexia nervosa have shown that a significant number of individuals do not fully recover from their eating disorder symptoms. Individuals who develop chronic eating disorders may express either strong ambivalence about symptom reduction or a complete lack of interest in change. As a result, clinicians can find this group particularly challenging. This report expands upon a treatment stance based on principles of Motivational Interviewing that addresses difficulties typically encountered in working with this population. The stance outlines a mission statement and specific clinician behaviours that promote engagement and alliance with this group, including the communication of beliefs that foster client self‐acceptance, not making assumptions, being curious, active, and on the same side, and maximizing client responsibility for change. Copyright © 2001 John Wiley & Sons, Ltd and Eating Disorders Association.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.041
GPT teacher head0.357
Teacher spread0.316 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations137
Published2001
Admission routes1
Has abstractyes

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