Self‐Ambivalence Is Indirectly Associated With Obsessive‐Compulsive and Eating Disorder Symptoms Through Different Feared Self‐Themes
Bibliographic record
Abstract
OBJECTIVES: Uncertainty regarding the self and fear of self have been independently identified as relevant to both obsessive-compulsive disorder (OCD) and eating disorders (EDs). The present study aimed to examine self-ambivalence (an indicator of uncertainty regarding the self often characterized by conflicting self-beliefs) as a potential transdiagnostic factor associated with both OCD and EDs and to determine whether differences in the thematic content of the feared self may be linked to the experience of symptoms of one disorder over another despite common co-occurrence and shared processes. METHODS: Undergraduate and community women (N = 138) completed a battery of questionnaires, which included measures of self-ambivalence, fear of self (assessing three feared self-themes: feared corrupted self, feared culpable self, and feared unattractive self), and OCD and ED symptoms. RESULTS: A path analysis revealed that self-ambivalence was directly associated with OCD and ED symptoms. Self-ambivalence was also indirectly associated with OCD symptoms via the feared corrupted self and with ED symptoms via the feared unattractive self. There was no indirect path through the feared culpable self. CONCLUSION: Self-ambivalence warrants additional investigation as a factor associated with multiple forms of psychopathology, representing a potentially valuable target for both intervention and prevention efforts. Differences in the content of the feared self may contribute to our understanding of divergent trajectories (why one individual may develop an ED while another develops OCD). Overall, research of this kind contributes to the development and improvement of transdiagnostic models of psychopathology integrating the self.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.002 | 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".