Examining the Convergence of Clinicians’ Ratings of Maladaptive Personality Traits and Categorical Diagnostic Criteria of Borderline Personality Disorder
Bibliographic record
Abstract
Maladaptive personality trait domains of negative affectivity, antagonism, and disinhibition undergird the borderline personality disorder (BPD) diagnosis according to the Alternative Model for Personality Disorders (AMPD). The current study compared the associations among clinicians’ ratings of maladaptive personality traits, categorical BPD diagnostic criteria, and the global BPD diagnosis in response to a clinical vignette using a large, diverse sample (N = 426) of licensed mental health care practitioners in the United States and Canada. Negative affectivity emerged as the most consistent predictor of BPD criteria and the global diagnosis. At the trait facet level, emotional lability was the most consistent independent predictor of BPD criteria and diagnosis. These findings suggest that clinicians’ agreement with BPD diagnostic criteria corresponds with their perceptions of the patients as experiencing problems related to instability of emotional experiences, feelings of nervousness and frequent worry, and a tendency to engage in dangerous and risky behaviors.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".