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Record W2049061672 · doi:10.1002/erv.1066

Emotion and eating in binge eating disorder and obesity

2010· article· en· W2049061672 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEuropean Eating Disorders Review · 2010
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsnot available
Fundersnot available
KeywordsBinge eatingPsychologyAlexithymiaShameAngerBinge-eating disorderPsychopathologyToronto Alexithymia ScaleOvereatingFeelingEating disordersDisgustEmotional eatingClinical psychologyLonelinessAffect (linguistics)ObesityDevelopmental psychologyBulimia nervosaPsychiatrySocial psychologyEating behaviorMedicine

Abstract

fetched live from OpenAlex

This study compares 20 binge eaters (BED), 23 obese patients (OB) and 20 normal weight controls (CO) with regard to everyday emotions and the relationship between emotions, the desire to eat and binge eating. Modified versions of the Differential Affect Scale and Emotional Eating Scale were used and the TAS-20 and Symptom-Check-List-27 administered to assess overall psychopathology and alexithymia. BED-subjects show a more negative pattern of everyday emotions, higher alexithymia scores and the strongest desire to eat, especially if emotions are linked to interpersonal aspects. The emotion most often reported preceding a binge was anger. Feelings of loneliness, disgust, exhaustion or shame lead to binge eating behaviour with the highest probability.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.241
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.296
Teacher spread0.279 · 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