Posttraumatic stress disorder and the structure of common mental disorders
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it