The impact of lower strength alcohol products on alcohol purchases: ARIMA analyses based on 4 million purchases by 69 803 households, 2015–2019
Bibliographic record
Abstract
BACKGROUND: Lowering the strength of alcohol products could lead to less alcohol being bought and drunk. In its prevention White Paper, the UK Government aims to promote a significant increase in the availability of alcohol-free and low-alcohol products by 2025. METHODS: Through descriptive analysis and ARIMA modelling of >4 million alcohol purchases from 69 803 British households, we study the potential impact of lower strength alcohol products in reducing household purchases of grams of alcohol over 2015-2019. Households are divided into predominantly beer, wine or spirits purchasers. RESULTS: Over 5 years, there were decreases in purchases of grams of alcohol within beer amongst beer-purchasing households and increases in purchases of grams of alcohol within wine and spirits amongst, respectively, wine- and spirits-purchasing households. Almost all the changes were due to beer-purchasing households buying less regular strength beer, and wine and spirits-purchasing households buying, respectively, more regular strength wine and spirits, rather than increases in purchases of no- and low-alcohol products. CONCLUSIONS: In general, lower strength alcohol products have not contributed to British households buying fewer grams of alcohol over the 5-year follow-up period during 2015-2019.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".