Characteristics of eating disorder patients without a drive for thinness
Bibliographic record
Abstract
OBJECTIVE: The aim of this study was to investigate two samples of patients affected by anorexia nervosa (AN) or bulimia nervosa (BN), respectively, with and without the diagnostic feature of drive for thinness (DT). METHOD: The samples comprised 70 consecutive eating disorder (ED) outpatients at the Department of Psychiatry (University of Pisa) and 106 AN patients admitted to a day hospital in Toronto, Canada. Subjects were assessed on clinical and psychometric parameters. RESULTS: In both countries, 17% of the subjects had low DT as measured by the Eating Disorder Inventory (EDI). They comprised the atypical group and appeared to have less severe psychopathology. DISCUSSION: Weight phobia should not be viewed as critical to the diagnosis of ED and DT could be a culture-bound dimension. Considering the differences between the two groups, the characterization of patients as typical and atypical may be clinically useful.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 teacher head, 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".