Antisocial personality traits as potential risk factors for cyberstalking: only aspects of psychopathy and narcissism matter
Bibliographic record
Abstract
Cyberstalking is defined as the repeated pursuit of an individual using the Internet. The current study examined the relationship between Dark Triad constructs and cyberstalking among a large sample of adults (N = 1724) while addressing several limitations of previous research. Each construct was assessed using a validated measure; a newer measure of Machiavellianism was used to ensure that psychopathy and Machiavellianism could be distinguished; and separate models were run for each trait to avoid interpreting residuals from multivariate models. After controlling for age and sex, only the antisocial facet of psychopathy (early and repeated antisocial behaviour; odds ratio, OR = 2.74, 95% confidence interval, CI [1.73, 4.36]) and grandiose narcissism (inflated self-esteem and antagonism; OR = 1.27, 95% CI [1.08, 1.50]) were significantly related to cyberstalking perpetration within the past 12 months. While psychopathy and narcissism may be important factors for understanding antisocial behaviour, Machiavellianism appears to have limited predictive and practical utility.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".