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Record W2100242911 · doi:10.1080/1556035x.2013.836879

Coming Together to Calm the Hunger: Group Therapy Program for Adults Diagnosed With Anorexia Nervosa

2013· article· en· W2100242911 on OpenAlexaff
Heather Ponech, Dawn Lorraine McBride

Bibliographic record

VenueJournal of Groups in Addiction & Recovery · 2013
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsAnorexia nervosaExperiential learningSession (web analytics)PsychotherapistPsychologyGroup psychotherapyPersonalityEating disordersClinical psychologySocial psychologyPedagogyComputer science

Abstract

fetched live from OpenAlex

The purpose of this article is twofold: to provide a comprehensive rationale for offering experiential groups for female adult clients who are struggling with disordered eating, particularly anorexia nervosa, and to present a detailed 14-group session program, called Coming Together to Calm the Hunger, which builds upon the rationale by demonstrating how to implement an interactive, experiential-driven treatment focus. Special mention is made on how to handle and process the unique personality characteristics the participants may bring to group. This article is particularly valuable to those counselors who do not have the resources or time to create a comprehensive group program. Strengths and limitations of the program are addressed.

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)0.000
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 score0.771
Threshold uncertainty score0.578

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.290
Teacher spread0.275 · 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

Citations1
Published2013
Admission routes1
Has abstractyes

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