Carrying Disaster Lightly: Assessment of Resilience in Two Populations with Psychopathic Features
Bibliographic record
Abstract
Psychopathic traits are typically associated with antisocial and offending outcomes.In contrast, resilience (adaptive functioning despite risks) has been found helpful for pursuing positive outcomes (e.g., desistance).To determine the relationship between psychopathy, resilience, and antisocial or offending outcomes, two studies were conducted using two diverse samples: youngadult university students (N = 488) and youth offenders (N = 1,354).In the student young-adult sample, resilience mediated the relationship between psychopathy and antisocial behaviour.In the criminal youth sample, psychopathy had a stable relationship (i.e., consistent predictive validity) with offending over time; resilience was dynamic, its effect deteriorating over longer periods.Agency-related (internal) resilience was found to be more prevalent in females than males and significantly predicted desistance.This runs counter to relational-cultural theory, given that Social-related (external) resilience did not predict desistance in females.Future research should continue to examine gendered effects of internal and external resilience traits.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".