Behavioural profiles and offender characteristics: Typology based on the Personality Assessment Inventory (<scp>PAI</scp>) in homicide cases
Bibliographic record
Abstract
Abstract This study used cluster analysis in 126 homicide cases based on Personality Assessment Inventory (PAI; Morey, 1999). PAI was implemented by 126 homicides and then dichotomously coded for the presence or absence of cut‐off PAI scale score in order to create criteria for analysis. These cases were input for the agglomerative hierarchical cluster using Ward's method as the clustering algorithm. The results of the analysis classified five clusters: “normal,” “antisocial,” “submissive‐depressive,” “soma‐anxiety” and “isolated.” The representative characteristics were explored and compared with five clusters. As a result, these five clusters significantly differed in various criminogenic variables, such as criminal record and imprisonment experience. But, other variables were not significantly discriminated.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".