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Record W2099896580 · doi:10.1037/a0023905

Therapeutic alliance and family-based treatment for adolescents with anorexia nervosa.

2011· article· en· W2099896580 on OpenAlexaff
Leanna Isserlin, Jennifer Couturier

Bibliographic record

VenuePsychotherapy · 2011
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsMcMaster UniversityLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsAlliancePsychologyAnorexia nervosaPsychotherapistFamily therapyClinical psychologyAnorexiaTherapeutic effectTherapeutic approachTherapeutic relationshipEating disordersMedicine

Abstract

fetched live from OpenAlex

This pilot study examines the role of therapeutic alliance in relation to weight gain and change in psychological measures during family-based treatment for adolescent anorexia nervosa (AN). Our sample consisted of 14 adolescents with AN and their families. Therapeutic alliance was measured using the System for Observing Family Therapy Alliances Scale. Those adolescents who attained at least 85% of their ideal body weight at the end of treatment had parents who showed a stronger therapeutic alliance with the therapist during the second session of treatment, while adolescents who were remitted on psychological measures showed a higher therapeutic alliance between themselves and the therapist early in treatment. It appears that therapeutic alliance plays an important role in outcome in family-based treatment for AN. Further study is needed in this area to explore the role of the therapist in creating and maintaining a strong therapeutic alliance.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.069
GPT teacher head0.336
Teacher spread0.267 · 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 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

Citations66
Published2011
Admission routes1
Has abstractyes

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