A Comparison of Personality Function Among Patients with Seasonal Depression, Nonseasonal Depression, and Nonclinical Participants
Bibliographic record
Abstract
Although a large body of research has accumulated concerning the relationship between nonseasonal depression and personality, comparatively few studies have examined the relationship between seasonal affective disorder (SAD) and personality. This study compared dimensional aspects of personality in patients diagnosed with SAD (N = 60), nonseasonal depression (N = 273), and nonclinical controls (N = 297) using the Dimensional Assessment of Personality Pathology (DAPP-BQ; Livesley & Jackson, in press). Analysis by ANCOVA indicated that significant between-group differences occurred in several of the 18 DAPP-BQ dimensions, with patients with SAD exhibiting personality psychopathology that was intermediate between the nonclinical sample and patients with nonseasonal depression. The results demonstrated that the traits associated with seasonal and nonseasonal depression differ in degree, not kind.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".