Bibliographic record
Abstract
Obsessive-compulsive disorder (OCD) has long been an enigma in the psychopathology of anxiety. This chapter describes the clinical features of obsessions and compulsions, and how they differ from related clinical phenomena such as pathological worry, normal intrusive thoughts, and rumination. It presents three clinical vignettes that illustrate the widely varying symptom profile of OCD. The DSM-5 debate on the removal of OCD from the anxiety disorders classification based on issues of differential diagnosis and comorbidity is discussed and this is followed by a brief review of epidemiology and clinical features of OCD. The chapter also talks about theory and research on the etiology of OCD with a focus on genetics, neurophysiology, and cognitive-behavioral theory and research on OCD. Four distinct symptom subtypes identified based on structural analysis of self-report and symptom interviews are described. The chapter concludes with summary remarks and future directions for advancing our understanding of the disorder.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.325 | 0.051 |
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; both teacher heads agree on what is shown here.
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".