Eating Pathology Among Patients With Anorexia Nervosa and Bulimia Nervosa
Bibliographic record
Abstract
We sought to deepen our understanding of the relationship between pathological narcissism and eating disorders (ED) by examining specific facets that composed grandiose and vulnerable narcissism while taking into account self-esteem, a well-known and consistent risk factor for ED. Twenty-seven women diagnosed with anorexia nervosa (AN) and 23 women diagnosed with bulimia nervosa (BN) completed standardized measures of pathological narcissism, self-esteem, and dysfunctional eating attitudes and behaviors. Different patterns of associations between the facets of pathological narcissism and eating pathology arose between AN and BN diagnoses. Closer examination of the facets of pathological narcissism revealed that hiding the self, a vulnerable narcissistic facet, contributed significantly to dysfunctional eating attitudes and behaviors over and above self-esteem for women with AN. Hiding the self should continue to be explored in regard to treatment of ED.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".