Examining the correlates and antecedents of subjective binge eating episodes in female undergraduates
Bibliographic record
Abstract
Binge eating is a core diagnostic feature of several eating disorders; however, controversy exists regarding the extent to which the size of an eating episode is important in the definition of a binge. The present study examined the relationship between subjective binge eating episodes (SBEs: experiencing loss of control while eating relatively small amounts of food) and eating disorder pathology, general pathology, and eating disorder-specific and general cognitive distortions in female undergraduate students (N=116) via self-report measures. In addition, negative affect and stress were examined as proximal antecedents of SBEs using naturalistic prospective monitoring. Findings indicated SBEs are associated with broad markers of eating disorder pathology and aspects of general pathology, and that eating disorder-specific cognitive distortions mediate the relationship between dietary restraint and SBE frequency. In addition, higher levels of negative affect were found to precede SBEs; however, stress was not identified as a statistically significant proximal antecedent. Findings are interpreted in light of methodological limitations, and clinical implications are discussed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".