Prevalence and Correlates of Street Racing Among Ontario High School Students
Bibliographic record
Abstract
OBJECTIVES: This study examined the prevalence and correlates of street racing among adolescents derived from the 2009 Ontario Student Drug Use and Health Survey (OSDUHS), an epidemiological survey of students in Ontario, Canada. METHODS: The key response variable, self-reported street racing in past year, was examined in relation to grade level, rural/urban, school marks, cannabis use, drinking and driving, cannabis use and driving, and property, physical, drugs, and weapons delinquencies. All survey estimates were weighted, and variance and statistical tests were corrected for the complex sampling design. RESULTS: Of the 3053 9th- to 12th-graders (66% response rate), 5.6 percent of high-schoolers (an estimated 42,000 in the province) and (20.4% of grade 11 and 12 students with an advanced-level or full license) reported driving a car, truck, or sport utility vehicle (SUV) in a street race in the 12 months before the survey. Logistic regression analysis of the advanced-level or fully licensed students in grades 11 and 12 found that males compared to females and students in grade 11 compared to students in grade 12 had significantly higher adjusted odds of street racing. Supportive of problem behavior theory, students who reported property and drug delinquencies compared to students not engaging in these delinquencies also had significantly higher adjusted odds of street racing. CONCLUSIONS: This first population-based study in North America suggested that the prevalence of street racing at 1 in 5 of advanced or fully licensed high-schoolers in grades 11 and 12 poses significant public health concerns, especially related to the potential for unintentional injury.
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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 | 0.001 | 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) | 0.001 | 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 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".