Potential labeling effects: influence of psychopathy diagnosis, defendant age, and defendant gender on mock jurors' decisions
Bibliographic record
Abstract
The present study investigated the impact of diagnostic labels and traits, age, and gender of the defendant on various mock juror decisions. Undergraduate students and members of the community (N=247) read a simulated trial transcript involving a case of aggravated assault. The transcript differed in terms of diagnosis (psychopathy vs. antisocial personality disorder (APD)/conduct disorder (CD) vs. no diagnosis), age (15 vs. 30), and gender (male vs. female) of the defendant. The effects of these variables on decisions regarding credibility, verdict choice, risk of future violence and recidivism, and treatment amenability were investigated. Results indicated that psychopathic defendants were rated as being less credible than defendants in the other diagnostic conditions. Defendants described as psychopaths and as having APD/CD were also more likely to be found guilty and were more likely to receive higher ratings of risk for future violence/recidivism regardless of their age and gender. There were no significant main effects or interactions concerning the age and gender variables. Implications for the use of psychopathy evidence within the Criminal Justice System are discussed.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".