Preliminary Steps Toward Extracting the Specific Alternative Model for Personality Disorders Diagnoses From Criteria A and B Self-Reports
Bibliographic record
Abstract
The Alternative DSM-5 Model for Personality Disorders (AMPD) retains six specific personality disorders (PDs) that can be diagnosed based on Criterion A level of impairment and Criterion B maladaptive facets. Those specific diagnoses are still underresearched, despite the preference expressed by most PD scholars for a mixed/hybrid classification. This study explores the possibility of using Criterion A and B self-report questionnaires to extract the specific AMPD diagnoses. Plausible prevalence estimates were found in three samples (outpatient PD, private practice, community; N = 766) using the facet score ≥ 2 and t score > 65 methods for determining the presence of a Criterion B facet; diagnoses had meaningful correlations with external variables. This study provides evidence—albeit preliminary—that the extraction of the specific AMPD PDs from self-report questionnaires might be a viable avenue. Ultimately, it could promote the use and dissemination of those diagnoses for screening purposes in clinical and research settings.
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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 | 0.021 | 0.063 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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".