Stability of narcissistic personality disorder: Tracking categorical and dimensional rating systems over a two-year period.
Bibliographic record
Abstract
Personality disorders are characterized as temporally stable patterns of symptoms (APA, 2000). However, evidence on the stability of narcissistic personality disorder (NPD) is generally lacking. This study tracked the prevalence and remission rates of individual criteria for NPD over the course of 2 years. In addition, the stability of dimensional personality pathology in patients with NPD (assessed with the Dimensional Assessment of Personality Pathology, DAPP-BQ) was assessed over time. A sample of 96 patients with a diagnosis of NPD was recruited at baseline. Forty patients participated in the follow-up assessment 2 years later. Our results indicate a moderate remission rate (53%) for NPD as a categorical diagnosis. However, single NPD criteria differed in their prevalence and temporal stability, similar to findings for other personality disorders. Moreover, scores on dimensional subscales of the DAPP-BQ remained stable over time. Theoretical implications 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 | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".