The impact of later trading hours for hotels (public houses) on breath alcohol levels of apprehended impaired drivers
Bibliographic record
Abstract
AIM: To examine the impact of extended trading permits (ETPs) for licensed hotels in Perth, Western Australia on impaired driver breath alcohol levels (BALs) between July 1993 and June 1997. DESIGN: Forty-three hotels obtained ETPs allowing later closing hours and 130 maintained standard closing time (controls). Impaired driver BALs were linked to 'last place of drinking' hotels. Before and after period BALs of drivers who last drank at ETP or non-ETP hotels were compared by time of day of apprehension and sex, controlling for age. FINDINGS: Impaired female drivers apprehended between 10.01 p.m. and 12 midnight (before closing time) had significantly lower BALs after drinking at ETP hotels. Male drivers aged 18-25 years and apprehended between 12.01 and 2.00 a.m. after drinking at ETP hotels had significantly higher BALs than drivers who drank at non-ETP hotels. CONCLUSIONS: At peak times for alcohol-related offences, late trading is associated with higher BALs among those drinkers most at risk of alcohol-related harm.
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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".