The subclinical psychopath in love: Mediating effects of attachment styles
Bibliographic record
Abstract
Central to both psychopathy and insecure attachment is a failure to bond with others. In addition, avoidance is linked to both primary and secondary psychopathic variants. To date, there have been no published studies that examine psychopathic traits, attachment, and romantic relationships. We tested whether attachment avoidance mediated the psychopathy–interpersonal outcome relations. University students ( N = 167) in a romantic relationship completed measures of psychopathic traits, attachment, and romantic relationship variables. Linear regressions, univariate analyses, and multivariate analyses indicated that secondary, but not primary, traits were associated with poor relationship quality, more active prowling and less willful disinterest in alternative partners, and more deactivation and hyperactivation. Avoidance significantly mediated these relations. Therefore, improving attachment impairments may benefit individuals high in secondary traits.
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How this classification was reachedexpand
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".