Posttraumatic stress disorder and the structure of common mental disorders
Bibliographic record
Abstract
Krueger [1999: Arch Gen Psychiatry 56:921-926] identified a three-factor structure of psychopathology that explained the covariation or grouping of common mental disorders found in the U.S. National Comorbidity Survey (NCS) [Kessler et al., 1994: Arch Gen Psychiatry 51:8-19]. These three fundamental groupings included an externalizing disorders factor and two internalizing disorders factors (anxious-misery and fear). We extended this research through the examination of additional data from a large subsample of the NCS (n=5,877) that contained diagnostic information on posttraumatic stress disorder (PTSD). Factor analytic findings revealed that PTSD showed no affinity with the fear factor defined by panic and phobic disorders, and instead loaded on the anxious-misery factor defined primarily by mood disorders. An identical pattern of results emerged for both lifetime PTSD and 12-month PTSD prevalence figures. Implications of these findings for the classification of PTSD and research on its etiology are briefly 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 | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| 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".