In the eye of the beholder: Psychopathy and fear enjoyment
Bibliographic record
Abstract
OBJECTIVE: We investigated the relations between psychopathic traits and fear enjoyment. METHOD: In Study 1, 140 undergraduate participants (62 men, 78 women) watched the footage of video game play meant to induce either excitement or fear, rating each on positive/negative adjectives. In Study 2, 150 undergraduate participants (94 women, 56 men) rated valence (positive/negative) of 20 sets of morphed surprise/fear photos. RESULTS: In Study 1, participants with higher levels of psychopathy rated the fear video as less negative and more positive. In Study 2, valence ratings became more negative as fear information increased (fear-laden faces were rated more negatively than surprise-laden faces). As well, there were significant interactions between psychopathy and morph level in predicting valence with psychopathic traits being associated with giving higher positivity ratings to fear-laden faces. CONCLUSIONS: The results of these two studies suggest that people with psychopathic traits have a more positive interpretation of the experience of fear, which could extend to evaluations of others' experiences of fear.
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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 | 0.004 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".