Food for Thought: Ego‐dystonicity and Fear of Self in Eating Disorders
Bibliographic record
Abstract
Degree of ego-dystonicity in obsessions is clinically relevant to the conceptualization and treatment of eating disorders (EDs). Obsessive-compulsive disorder 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. This study aims to explore the relationship between the ego-dystonic nature of obsessions in ED patients and a fear of self, the link between ED symptom severity and ego-dystonicity in obsessions, and differences between non-clinical and individuals with EDs in the presence of ego-dystonic thoughts and a fear of self. Ego-dystonicity (Ego-dystonicity Questionnaire (EDQ)) and feared self (Fear of Self Questionnaire (FSQ)) degrees were measured in a clinical sample (n = 57 with EDs) and a non-clinical sample (n = 45). EDQ and FSQ scores were highly correlated in both samples. EDQ scores were not significantly correlated to ED symptom severity with the exception of the EDQ Irrationality subscale, which was strongly related to compulsion severity. Participants with an ED had significantly higher EDQ and FSQ scores compared with controls.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".