Additional evidence for a quantitative hierarchical model of mood and anxiety disorders for DSM-V: The context of personality structure.
Bibliographic record
Abstract
Recent progress toward the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders includes a proposed quantitative hierarchical structure of internalizing pathology with substantial, supportive evidence (D. Watson, 2005). Questions about such a taxonomic shift remain, however, particularly regarding how best to account for and use existing diagnostic categories and models of personality structure. In this study, the authors use a large sample of psychiatric patients with internalizing diagnoses (N = 1,319) as well as a community sample (N = 856) to answer some of these questions. Specifically, the authors investigate how the diagnoses of obsessive-compulsive disorder (OCD) and bipolar disorder compare with the other internalizing categories at successive levels of the personality hierarchy. Results suggest unique profiles for bipolar disorder and OCD and highlight the important contribution of a 5-factor model of personality in conceptualizing internalizing pathology. Implications for personality-psychopathology models and research on personality structure 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 | 0.014 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".