Psychopathic Traits in Females and Males across the Globe
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
The current study examined the prevalence and structure of psychopathic traits in females and males using a very large world sample (N = 33,016, females = 19,183). Psychopathic traits were assessed with the Self-Report Psychopathy (SRP) scale, and structural equation modeling (SEM) was used to test the four-factor model of psychopathy (interpersonal, affective, lifestyle, antisocial) both in the total sample and in the separate samples of females and males. Multi-sample confirmatory factor analysis was used to test for invariance of model parameters across sex as well as across females from different world regions. Inferential statistics were used to examine how the mean-level average of the four SRP facets varied as a function of culture and sex. Finally, the SRP data were linked to objective world health data (e.g., mortality, fertility, gross domestic product) from relevant world regions. The results indicated good support for the four-factor model, as well as invariance across sex and reasonably good evidence of invariance across females from different world regions. Variation in the elevation of SRP facet scores across major world regions suggested that cultural factors moderated the expression of the level of psychopathic propensities and that these traits were strongly correlated with the world health data.
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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 | 0.003 | 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 | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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