A Meta-Analysis Examining the Relations among Pathological Gambling, Obsessive-Compulsive Disorder, and Obsessive-Compulsive Traits
Why this work is in the frame
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Bibliographic record
Abstract
Pathological gambling has been proposed to belong to the obsessive-compulsive spectrum of disorders. Disorders on this spectrum are thought to share similar clinical features, neurobiology, and responses to treatment as Obsessive-Compulsive Disorder. A total of 18 studies were included in a meta-analysis to assess the strength of the association between these disorders. A strong relationship (effect size = 1.01) was found between pathological gambling and obsessive-compulsive traits. A weak relationship was found between pathological gambling and Obsessive-Compulsive Disorder (.07) and Obsessive-Compulsive Personality Disorder (effect size = .23). These results suggest pathological gambling and Obsessive-Compulsive Disorder are distinct disorders. However, pathological gamblers do appear to show high rates of obsessive-compulsive traits relative to controls. These findings are only moderately supportive of the inclusion of pathological gambling within the obsessive-compulsive spectrum of conditions.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.006 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it