A Developmental Perspective on the Stability and Change of Psychopathic Personality Traits Across the Adolescence–Adulthood Transition
Bibliographic record
Abstract
The stability of psychopathic personality disturbance (PPD) has important theoretical implications for developmental criminology and population heterogeneity perspective assertions that psychopathy is a key measure of criminal propensity. Data from the Pathways to Desistance Study ( n = 1,354) were used to examine short-, moderate-, and long-term reliable change in symptoms of PPD measured via the Youth Psychopathic Traits Inventory (YPI). Youth scoring highest on the YPI at the baseline assessment were most likely to experience reliable decreases in test scores. Binomial regression analyses showed that a reliable decrease in YPI test score was associated with decreased odds of endorsing additional offenses. Findings contrasted the adolescent “fledgling” psychopathy perspective and indicated that individuals scoring high on the YPI are the group most likely to experience reliable decreases in test scores, especially over a longer follow-up period.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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".