Dimensions of Personality: Clinicians' Perspectives
Bibliographic record
Abstract
OBJECTIVE: To obtain the opinions and preferences of practising clinicians about the clinical utility of personality scales included within 8 alternative dimensional models of personality disorder for inclusion within an official diagnostic nomenclature. METHOD: Psychiatrists (n = 226) and psychologists (n = 164) from 2 continents provided clinical utility ratings on personality scales organized from 8 alternative dimensional models of personality disorder. RESULTS: The psychiatrists and the psychologists supported the inclusion of most of the scales from all 8 of the models that were compared. Normal personality traits were endorsed, although abnormal personality traits generally received higher levels of endorsement. The list of endorsed traits was reduced further by organizing the scales into groups based on redundancy within each of 5 broad domains and then selecting within each group the scale that received the highest rating. CONCLUSIONS: This list appears to represent each domain in a manner that is comprehensive both in its coverage of the respective domain, as well as in representing particular strengths of each of the alternative dimensional models, at least for the stated preferences of psychiatrists and psychologists.
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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 | 0.010 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| 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".