Psychometric Properties in Forensic Application of the Screening Version of the Psychopathy Checklist
Bibliographic record
Abstract
The Psychopathy Checklist: Screening Version (PCL: SV) is a short form of the Psychopathy Checklist-Revised (PCL-R), an expert-rated assessment that measures psychopathic personality traits in research, clinical, and community settings. The PCL-R is an extensively relied upon tool in psycho-legal contexts. The screening version is also widely used; however, it has received far less empirical attention than the PCL-R. This review examines the psychometric properties of the PCL: SV, specifically in relation to forensic samples, and evaluates its comparability with the full PCL-R. Previously reported similarity in the reliability and validity of the PCL: SV as established for the PCL-R was supported through further testing in forensic samples. However, limitations in terms of available normative data are highlighted, and the review engages with wider debate concerning the measurement of psychopathy.
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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 | 0.010 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".