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Record W4402546206 · doi:10.1177/21677026241267996

Testing a Reward-Processing Model of Negative Urgency in Women With and Without Binge Eating

2024· article· en· W4402546206 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueClinical Psychological Science · 2024
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsMcGill University
FundersInstitute of Neurosciences, Mental Health and AddictionFonds de Recherche du Québec - SantéCanadian Institutes of Health ResearchSocial Sciences and Humanities Research Council of CanadaFonds de Recherche du Québec-Société et Culture
KeywordsPsychologyBinge eatingPsychopathologyMoodAffect (linguistics)Negative moodCognitionClinical psychologyBinge-eating disorderEating disordersPsychiatryBulimia nervosa

Abstract

fetched live from OpenAlex

Negative urgency (i.e., the tendency to act impulsively when experiencing negative affect) is robustly associated with psychopathology, but the mechanisms underlying negative urgency and its relation to mental health are not well understood. In addition to interfering with cognitive control, negative emotions may lead to impulsive behavior by enhancing reward processing of desired stimuli. In this study, we tested an emotion-enhanced reward-processing model of negative urgency in 153 women who spanned the spectrum of binge-eating severity. Participants completed two experimental tasks under both stressful- and relaxed-mood conditions while physiological, behavioral, and self-report indices of reward processing of palatable food were assessed. Contrary to hypotheses, reward processing of food was not heightened when stressed versus relaxed either in the full sample or in participants with greater negative urgency or binge-eating frequency/severity. Findings are discussed considering study limitations and previous mechanistic work on negative urgency.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.304
Threshold uncertainty score0.730

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.002
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 head0.202
GPT teacher head0.488
Teacher spread0.286 · 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