Psychopathy and Risk Taking Among Jailed Inmates
Bibliographic record
Abstract
Several clinical descriptions of psychopathy suggest a link to risk taking; however the empirical basis for this association is not well established. Moreover, it is not clear whether any association between psychopathy and risk taking is specific to psychopathy or reflects shared variance with other externalizing disorders, such as antisocial personality disorder, alcohol use disorders, and drug use disorders. In the present study we aimed to clarify relationships between psychopathy and risky behavior among male county jail inmates using both self-reports of real-world risky behaviors and performance on the Balloon Analogue Risk Task (BART), a behavioral measure of risk taking. Findings suggest that associations between externalizing disorders and self-reported risk taking largely reflect shared mechanisms. However, psychopathy appears to account for unique variance in self-reported irresponsible and criminal risk taking beyond that associated with other externalizing disorders. By contrast, none of the disorders were associated with risk taking behavior on the BART, potentially indicating limited clinical utility for the BART in differentiating members of adult offender populations.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".