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Record W1989022697 · doi:10.1521/ijgp.2007.57.2.167

A Self Psychological and Relational Approach to Group Therapy for University Students with Bulimia

2007· article· en· W1989022697 on OpenAlexaff
Deborah Levine, Faye Mishna

Bibliographic record

VenueInternational Journal of Group Psychotherapy · 2007
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGroup psychotherapyPsychologyPsychotherapistBulimia nervosaClinical psychologyEating disorders

Abstract

fetched live from OpenAlex

Bulimia is a complex disorder that can significantly interfere with psychosocial functioning. It is a particularly significant problem among adolescents and young women in college and university settings. The preponderance of literature on group therapeutic approaches for this disorder is from a cognitive-behavioral perspective. In this paper, we present a psychodynamic group therapy approach for female university students, informed specifically by self psychological and relational frameworks. Through clinical illustrations, we demonstrate how the group provides selfobject experiences, including mirroring, idealizing, twinship, and adversarial experiences, and how the group becomes the arena through which group members can experience, express, and understand emotions. The interpersonal context of the group uniquely provides opportunities for members to examine their bulimic symptoms in relation to interactions that take place outside of or within the group.

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)0.002
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: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.003
Scholarly communication0.0010.001
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.032
GPT teacher head0.357
Teacher spread0.325 · 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

Citations11
Published2007
Admission routes1
Has abstractyes

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