The prevalence of alcohol-impaired driving in Alberta
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study explored the current state of alcohol-impaired driving as well as the changes in alcohol-impaired driving over time among Albertans. Based on self-report data from the annual Alberta Surveys 1991, 1992, 1997, and 2009, this study also traced the shift in the impact of standard demographic factors on alcohol-impaired driving in the province. Furthermore, the study examined social influence in alcohol-impaired driving in a representative sample in Alberta. Results indicated that in the past 12 months, 4% of the respondents had driven a vehicle while impaired, and 6.1% of the respondents had been passengers in a vehicle driven by an impaired driver. Chi-square test indicated that male, single, employed, non-religious, and younger respondents were more likely to have driven while impaired. Logistic regression analyses showed that a one-unit increase in social influence was associated with 5.32 times greater odds of engaging in impaired driving (OR = 5.32, 95% CI = 3.06–9.24, p < .001), controlling for other variables in the model. Findings also showed that self-reported alcohol-impaired driving has decreased substantially over the years (10.6% in 1991, 8.4% in 1992, 7.2% in 1997, and 3.7% in 2009). However, there had been little changes in designated driving. In addition, there had been a shift in age-related impaired driving, i.e., people aged 55-65+ reported impaired driving more in 2009 (4.8%) compared to 1991 (2.0%) and 1992 (2.2%); while individuals aged 18-34 and 35-54 reported impaired driving less in 2009 (4.8% and 2.6%, respectively) compared to 1991 (12.7% and 13.0%, respectively). The policy implications of the findings are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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 it