Psychopathic Traits and Perceptions of Victim Vulnerability
Why this work is in the frame
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Bibliographic record
Abstract
This study examines whether psychopathic traits in a nonreferred (and presumably nonpsychopathic) sample could enhance the accuracy of perceptions of victim vulnerability. In a previous study, the interpersonal and affective component of psychopathy was associated with increased accuracy in assessing vulnerability in dyadic conversations, and Grayson and Stein (1981) established that vulnerability could be assessed by observing targets walking. The purpose of this study was to determine whether individuals scoring higher on psychopathic traits would be better able to judge vulnerability to victimization after viewing short clips of targets walking. Participants provided a vulnerability estimate for each target and completed the Self-Report Psychopathy Scale: Version III (SRP-III). Higher SRP-III scores were associated with greater accuracy in assessing targets' vulnerability to victimization. Implications for the prevention of victimization are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it