Stalking perpetration through the lens of the alternative DSM‐5 model for personality disorders
Bibliographic record
Abstract
Emerging dimensional models of personality disorders such as the Alternative DSM-5 Model for Personality Disorders (AMPD) provide new opportunities to explore the associations between personality pathology and harmful interpersonal behaviours such as stalking perpetration. Two goals are pursued by this study: (a) To document associations between stalking, level of personality pathology, and pathological personality domains/facets; and (b) to determine the relative importance of maladaptive personality facets in the statistical prediction of stalking. Data from 1489 young adults (18-30 years old) from a community sample were analysed. Moderate positive significant correlations were found between stalking, level of personality pathology, and maladaptive personality domains. A clear gradient of severity of stalking behaviours was found across five severity degrees of personality pathology. Dominance analyses revealed that Deceitfulness was the most dominant statistical predictor in women. Unusual Beliefs and Experiences, a facet from the Psychoticism domain, made an important contribution in the prediction of stalking in men only. Impulsivity was a key predictor in both genders but more markedly in men. Results suggest that the AMPD represents a useful framework to study stalking perpetration. Identification of key personality predictors might prove relevant for identifying risk factors, underlying motives, and treatment targets for stalking perpetrators.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".