Depressive Personality Disorder: A Comparison of Three Self-Report Measures
Bibliographic record
Abstract
Depressive personality disorder (DPD) was included in the appendix of the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) for further study. Questions abound regarding this disorder in terms of its distinctiveness from extant diagnostic constructs and clinical significance.This study examines the interrelations between three assessments of DPD and their relations to pathological personality traits and disorders in a sample of undergraduates (N = 182). The DPD indices evinced adequate convergence with each other (mean r = .60) and similar pathological personality profiles. The authors also tested the incremental validity of the DPD scores in relation to psychological functioning, after controlling for depressive symptoms and the DSM-IV personality disorders (PDs). The DPD scores manifested limited incremental validity, mainly in the form of predicting lower levels of positive affectivity. Our results suggest that this is not specific to DPD, however, as the official PDs also manifested limited incremental validity.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 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".