Bibliographic record
Abstract
Psychopathy is a personality disorder characterized by a constellation of maladaptive interpersonal, affective, and behavioral traits. Psychopathic traits have strong associations with several negative outcomes in youth, including violence and criminality. However, there are numerous developmental and ethical concerns regarding the direct extension of the adult psychopathy construct to youth. Further, little is known about the etiology and early course of psychopathy. The goal of this study was to investigate the onset of the interpersonal, affective, and behavioral traits of psychopathy in a sample of 115 male young offenders. Youth were assessed to determine the presence, severity, and age of onset of psychopathic traits. Results indicated that age of onset ratings were made reliably for most traits. Survival analysis was employed to compute median ages of onset for all psychopathic traits, which ranged from age 8 to 14. Traits reflecting deficient affective experience, such as lacking remorse and empathy, had earlier ages of onset than did other symptoms. The interpersonal and behavioral traits of impression management and lacking goals had the latest ages of onset. However, it is unclear whether these traits did not crystallize until later ages or whether their earlier manifestations are unable to be detected due to a developmentally uninformed measurement instrument. High risk developmental periods for the onset of psychopathic traits were also identified.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".