Neuropsychological and Personality Characteristics of Predatory, Irritable, and Nonviolent Offenders
Bibliographic record
Abstract
This article represents an initial attempt to adapt the three most relevant components of Moyer’s animal aggression typology to humans. These include predatory (unemotional, goal-directed), irritable (anger-based), and defensive (fear-based) aggression. As different brain networks are likely involved, the authors hypothesized that executive function and personality tests could differentiate violent from nonviolent criminals and discriminate the types originally classified on the basis of criminal history. Discriminant analyses correctly classified 80% of the violent and nonviolent groups and 74% of the predatory and irritable groups. Of theoretical salience, the predatory group resembled the unimpaired nonviolent group only on the cognitive Integrated Visual and Auditory Continuous Performance Test but was indistinguishable from the impaired irritable aggression group on the Iowa Gambling, suggesting inhibitory deficits primarily in the face of reward opportunity. Implications for the theory and application to risk assessment are discussed.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".