Most recent risky drinking session with Australian teenagers
Bibliographic record
Abstract
OBJECTIVE: Despite declines in Australian alcohol consumption, youth alcohol related harms remain prevalent. These alcohol-related consequences appear to be driven by a subset of risky drinkers who engage in 'high intensity' drinking episodes and are underrepresented in national health surveys. This project aims to investigate high risk drinking practices and alcohol-related harms amongst young people not otherwise recorded in existing data. METHODS: A community sample of the heaviest drinking 20-25% 16-19 year olds were surveyed across three Australian states (n=958; 80% metropolitan). We examined the context of their last risky drinking session through online and face-to-face surveys. RESULTS: Males consumed a mean of 17 and females 14 standard drinks, and 86% experienced at least one alcohol-related consequence during this session. More than a quarter of the face-to-face sample had Alcohol Use Disorders Identification Test (AUDIT) scores indicative of alcohol dependence. Indications of dependence were 2.3 times more likely among those who felt uncomfortable about seeking alcohol treatment, and less likely if harm reduction strategies were frequently used while drinking. CONCLUSIONS: It is clear this underrepresented population experiences substantial acute and potentially chronic consequences. IMPLICATIONS: Within the context of increasing alcohol-related harms among young Australians, the understanding of this group's drinking habits should be prioritised.
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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) | 0.000 | 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".