The Childhood and Adolescent Taxon Scale – Self-Report: Validity Among Male and Female Youths from Forensic and School Contexts
Bibliographic record
Abstract
This study provides the first examination of the Childhood and Adolescent Taxon Scale – Self-report (CATS-SR) proxy measure of the persistent antisocial behavior dimension of psychopathy, based on childhood and adolescent history, in a European context and with female youth. The CATS-SR is evaluated in a sample of 1,134 male and female youth recruited from forensic or school settings in Portugal. The CATS-SR did not significantly differ for male and female youth seen in forensic settings, but was higher in male than female youth recruited from schools, and higher in youth seen in forensic than in school settings. The CATS-SR was positively and moderately correlated with self-report psychopathy construct measures that included items tapping interpersonal and affective facets of psychopathy such as callousness and impulsivity. It also correlated as expected with age of first criminal contact, crime seriousness, conduct disorder diagnosis, drug use, and having unprotected sex. The findings suggest that the CATS-SR has discriminant, convergent, and criterion-related validity, and could therefore be useful in assessments of the persistent antisocial dimension 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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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".