Psychopathic Expression From Early to Late Adulthood: An Item Response Theory Analysis of the Hare Psychopathy Checklist–Revised
Bibliographic record
Abstract
Several investigators have assessed the Psychopathy Checklist–Revised (PCL-R) for invariance across offender ethnicities and in correctional and forensic–psychiatric contexts. Yet we do not know whether, or to what extent, item properties among male offenders vary throughout adulthood. With a combined sample of PCL-R data on offenders from Canada and the United States ( N = 4,820), we measured item properties for offenders in age groups of Early (18-30 years old), Middle (31-49 years old), and Late (50+ years old) adulthood. Nine items showed differential item functioning across age group comparisons. Among the Early group, the PCL-R Interpersonal and Affective traits were most informative for measuring the latent trait of psychopathy. Among the Late group, the PCL-R Lifestyle and Antisocial items were most informative for the latent trait. These differences in item information illustrate how psychopathy manifests in male offenders throughout adulthood.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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 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".