A Comparison of Black and White Women With Binge Eating Disorder
Bibliographic record
Abstract
OBJECTIVE: Binge eating disorder was introduced in DSM-IV as a psychiatric disorder needing further study. This community-based study describes the relationship between race and clinical functioning in black and white women with and without binge eating disorder. METHOD: A group of 150 women with binge eating disorder (52 black, 98 white) and a race-matched group of 150 healthy comparison subjects were recruited from the community. Eating and psychiatric symptoms were assessed through interviews and self-report. RESULTS: Black and white women with binge eating disorder differed significantly on numerous eating disorder features, including binge frequency, restraint, history of other eating disorders, treatment-seeking behavior, and concerns with eating, weight, and shape. Black and white healthy comparison subjects differed significantly in obesity rates. CONCLUSIONS: For both black and white women, binge eating disorder was associated with significant impairment in clinical functioning. Yet, racial differences in clinical presentation underscore the importance of considering race in psychopathology research.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".