Exploring the Role of Violent Attitudes in the Association Between Trust and Violent Behaviours
Bibliographic record
Abstract
Trust has been identified as a potential factor influencing violence, with lower levels of institutional and generalized trust linked to higher homicide rates and extremist attitudes. However, limited research has explored the relationship between trust and attitudes toward violence, a known risk factor for violent behaviour. Attitudes toward violence, defined as the degree of positive or negative evaluation of violence, are closely associated with and predictive of violent behaviour. Preliminary findings by Hatton & Nunes (2024) revealed a negative relationship between trust and attitudes toward violence, with attitudes mediating the link between trust and violent behaviour in a sample of community men. The current study replicated and extended these findings in a larger, mixed-gender sample, using multiple measures of trust, attitudes toward violence, and violent behaviour. This research aims to enhance understanding of trust as a potential risk factor for violence and clarify the mediating role of attitudes toward violence.
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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 | 0.003 | 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 | 0.000 | 0.000 |
| 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 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".