Does higher alcohol consumption affect attitudes towards alcohol control measures in Estonia?
Bibliographic record
Abstract
Objectives: To analyze whether higher alcohol consumption is associated with negative attitudes towards stricter alcohol control policy measures in Estonia. Study design: Cross-sectional analysis of nationally representative data from 2022 (n = 2059). Methods: Attitudes towards seven alcohol control measures and their association with high-risk alcohol consumption (>140 g absolute alcohol for men and >70 g for women per week) were analyzed using used descriptive statistics and binary logistic regression using nationally representative data on Estonian 15-74-year-old population. Results: In general, high-risk consumption associated with lower acceptance for alcohol control policies. Although men had higher prevalence of opposing alcohol control measure for every item considered, both men and women with high-risk alcohol consumption were significantly more likely to be against alcohol control measures in general even after accounting for the variation by demographic characteristics. Conclusions: As public opinion is detrimental to the successful implementation of alcohol policies, these findings emphasize the need to communicate alcohol-related harms to the public in order to increase awareness and support for alcohol control policies.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".