Insensitivity to suffering: the relation of psychopathic traits to somatic processing, first-person and third-person pain.
Bibliographic record
Abstract
Despite a growing body of evidence indicating that psychopathy entails profound deficits in emotional processing, the particular dysfunction in pain perception remains poorly understood. This study examined the influence of psychopathic traits on first-person and third-person pain perception. Undergraduate students (N = 110) completed measures of psychopathic traits and empathy. Participants then underwent a cold-pressor task during which they rated their pain experience and physiological activity was recorded. Next, participants watched a video of 60 clips of other people experiencing pain. Following each clip, participants rated the perceived level of pain. Higher levels of psychopathic traits were related to a lower pain tolerance, but not to differences in pain ratings or physiological activity. However, psychopathic traits were associated with a mismatch between individuals' subjective ratings and physiological activity. Lastly, psychopathic traits were associated with decreased sensitivity to others' pain. These findings provide novel insights into the emotional deficit characterizing psychopathy. --Leaf ii.
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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) | 0.003 | 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".