The Proposed Specifiers for Conduct Disorder (PSCD) Scale: Factor Structure and Validation of the Self-Report Version in a Forensic Sample of Belgian Youth
Bibliographic record
Abstract
This is the first study to test the psychometric properties of the self-report version of the Proposed Specifiers for Conduct Disorder (PSCD) in detained youth. The PSCD is a measure of the broad psychopathy construct, with grandiose-manipulative, callous-unemotional, daring-impulsive, and conduct disorder (CD) components. Participants (227 males) completed the PSCD along with other measures, including a diagnostic interview to assess Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM- 5) CD. Results support the PSCD’s proposed hierarchical four-factor structure. Correlations with an alternate measure of psychopathy and symptoms of CD support the convergent validity of PSCD scores. PSCD scores showed positive associations with criterion variables of emotional and regulatory functioning, aggression, substance use, and school problems. Finally, PSCD scores were unrelated to anxiety and depression, supporting the PSCD’s discriminant validity. Findings indicate that the PSCD is a promising measure for assessing psychopathic traits in detained male adolescents, though its incremental validity is in need of further scrutiny.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 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".