MétaCan
Menu
Back to cohort
Record W2128512587 · doi:10.1002/eat.22032

Altered social hedonic processing in eating disorders

2012· article· en· W2128512587 on OpenAlexaboutno aff
Kate Tchanturia, Helen Davies, Amy Harrison, John R. E. Fox, Janet Treasure, Ulrike Schmidt

Bibliographic record

VenueInternational Journal of Eating Disorders · 2012
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsnot available
Fundersnot available
KeywordsAnhedoniaPleasurePsychologyAnorexia nervosaBulimia nervosaEating disordersFeelingMoodToronto Alexithymia ScaleInterpersonal relationshipAlexithymiaClinical psychologyDevelopmental psychologyInterpersonal communicationPsychiatrySocial psychologyPsychotherapist

Abstract

fetched live from OpenAlex

OBJECTIVE: Exploring social anhedonia in eating disorders (ED) was the main objective of this study. Social anhedonia relates to a reduced feeling of pleasure from social stimulation. Researching the exact nature of problems in interpersonal relationships is an important topic for clinicians and researchers in the field. METHOD: The revised social anhedonia scale was completed by 148 participants: anorexia nervosa (AN) n = 72; bulimia nervosa (BN) n = 19; recovered AN n = 14; healthy controls (HC) n = 43. Participants also completed mood related measures and the Toronto Alexythimia scale. RESULTS: People with AN and BN had higher self-reported social anhedonia than people without ED. Recovered AN had an intermediate profile in between AN and HC. Clinical severity and alexithymia were strongly associated with social anhedonia scores. DISCUSSION: Difficulty identifying and expressing feelings could be related to this diminished drive for social pleasure. Tackling these interpersonal maintaining factors in treatment is likely to be a worthwhile endeavor.

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)0.000
metaresearch head score (Gemma)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0030.000

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 head0.024
GPT teacher head0.361
Teacher spread0.337 · 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

Citations174
Published2012
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Eating DisordersSame topicEating Disorders and BehaviorsFrench-language works237,207