Behavioral Confirmation of Everyday Sadism
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Past research on socially aversive personalities has focused on subclinical psychopathy, subclinical narcissism, and Machiavellianism-the "Dark Triad" of personality. In the research reported here, we evaluated whether an everyday form of sadism should be added to that list. Acts of apparent cruelty were captured using two laboratory procedures, and we showed that such behavior could be predicted with two measures of sadistic personality. Study 1 featured a bug-killing paradigm. As expected, sadists volunteered to kill bugs at greater rates than did nonsadists. Study 2 examined willingness to harm an innocent victim. When aggression was easy, sadism and Dark Triad measures predicted unprovoked aggression. However, only sadists were willing to work for the opportunity to hurt an innocent person. In both studies, sadism emerged as an independent predictor of behavior reflecting an appetite for cruelty. Together, these findings support the construct validity of everyday sadism and its incorporation into a new "Dark Tetrad" of personality.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.023 | 0.002 |
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