RISK PERCEPTION AND DRIVING A MOTOR VEHICLE UNDER THE INFLUENCE OF CANNABIS: A STUDY WITH COLLEGE STUDENTS OF A PRIVATE INSTITUTION
Why this work is in the frame
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Bibliographic record
Abstract
ABSTRACT Objective: to analyze the relationship between risk perception and behaviors related to driving a motor vehicle under the influence of cannabis. Method: The research was carried out through a cross-sectional survey. 382 undergraduate students between the ages of 17 and 29 were interviewed at a private higher educational institution in the Federal District, Brazil. Descriptive and inferential statistics (cross tabulations and chi-square) were used to analyze the data. Results: they indicate that more than 1/3 of the participants used cannabis in the past 12 months, and 36.4% reported problematic use. It was possible to establish a relationship between the behaviors of perception of risk and driving a motor vehicle under the influence of cannabis: 1) the perception of being sanctioned as a driver and driving a motor vehicle under the influence of cannabis (χ2(1) = 3.96, p=≤0); 2) to perceive damages as driver and driving a motor vehicle under the influence of cannabis (χ2(1)=3.96, p = ≤05); 3) perception of damages as passenger and driving a motor vehicle under the influence of cannabis (χ2(1)=3.96, p=≤5.0). Conclusion: damages caused by cannabis are underestimated by university students, since they have a very low risk perception, especially when compared to alcohol. In Brazil, there is also a lack of regulation and sanctions with respect to driving a motor vehicle under the influence of cannabis, which may contribute to an important risk among this population.
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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) | 0.000 | 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 it