Food for Thought: Change in Ego-Dystonicity and Fear of Self in Bulimia Nervosa Over the Course of Inference Based Treatment
Bibliographic record
Abstract
Degree of ego-dystonicity in obsessions is clinically relevant to the conceptualization and treatment of eating disorders (EDs). Obsessive-Compulsive Disorder (OCD) research has suggested that the transformation of intrusive thoughts into obsessions is linked to the degree to which intrusive thoughts threaten core perceptions of the self. Given the recognized overlap between EDs, particularly anorexia and bulimia nervosa (BN), and OCD in phenomenology and psychological characteristics, a 24-week cognitive inference-based therapy (IBT) program shown to be effective in treating OCD was adapted to treat EDs. This study explores the change in ED symptom severity, The degree of ego-dystonicity in obsessions, and Fear of self, motivational, mood and anxiety measures from pre-IBT to six-month follow-up. Changes in ego-dystonicity, fear of self, ED symptoms and motivational stage were assessed in 15 women with BN over the course of IBT and at follow-up. 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 | 0.002 |
| 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 | 0.000 | 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".