Adolescent psychopathy, heart rate, and skin conductance
Bibliographic record
Abstract
Abstract Researchers have advocated for a greater focus on measuring neurobiological underpinnings of serious psychological conditions such as psychopathy. This has become particularly important to investigate early in the life span, when intervention efforts for psychopathy‐related behavior like conduct disorder (CD) are more successful. Given that psychopathy is a complex syndrome, it is also important to investigate physiological processes at a dimensional level. Using a sample of 56 adolescent male offenders (Mage = 15.92; SD = 1.31), this study explored the relationship between the Psychopathy Checklist–Youth Version (Forth, Kosson, & Hare, 2003), heart rate (HR), and skin conductance (SC). A white noise countdown task was used to measure autonomic activity across a baseline, anticipatory (prenoise), and reactivity (postnoise) period. Findings revealed no significant associations between psychopathy and HR activity across the time intervals. However, results revealed a positive association between grandiose‐manipulative traits and SC activity and a negative association between callous‐unemotional traits and SC activity. The results indicate that autonomic processes may contribute to distinct psychopathic traits in different ways, implicating slightly differential brain functioning. The findings suggest that, in order to better understand and treat youth with CD, future research should continue to examine the biological correlates of psychopathy at the broader construct level but perhaps especially at the component level.
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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 | 0.000 | 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) | 0.002 | 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".