Psychiatric Distress among Road Rage Victims and Perpetrators
Bibliographic record
Abstract
OBJECTIVE: To investigate the relation between psychiatric distress and road rage, paying particular attention to the potential link between psychiatric illness and frequent involvement in serious forms of road rage. METHOD: This study reports data on road rage involvement, demographic characteristics, and mental health for a representative sample of 2610 adults in Ontario. The mental health indicator was the 12-item General Health Questionnaire. RESULTS: A cluster analysis revealed 5 distinct groups of people affected by road rage. The most serious offenders (referred to hereafter as the hard core road rage group), representing 5.5% of those affected, exhibited frequent involvement in the most severe forms of road rage and were the most likely (27.5%) to report psychiatric distress. CONCLUSIONS: Road rage, particularly experiences of victimization, is related to psychiatric distress. Evidence of psychiatric distress was highest among hard core road rage perpetrators, individuals noted for frequent involvement in serious aggressive and violent conduct. Further research is needed on violence and road rage and its link to mental health.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".