Quality of illegally and informally produced alcohol in Europe: Results from the AMPHORA project
Bibliographic record
Abstract
Background. In the WHO region Europe, the average unrecorded adult per capita alcohol consumption was 2.67 L pure ethanol in 2005, which is 22% of the total consumption of 12.20 L. Despite concerns about potential health harms from the chemical composition of unrecorded alcohol, there are surprisingly few data on the problem in the European Region. This study reports the results from the Alcohol Measures for Public Health Research Alliance (AMPHORA) project, which assessed the quality of unrecorded alcohol in a Europe-wide study. Methods. Samples of unrecorded alcohol were collected in 16 European countries and chemically analyzed for potentially health-relevant parameters. Thresholds for parameters were defined based on potential health hazards of daily drinking. Results. The average alcoholic strength of unrecorded wine products was 14.9% vol, and 47.8% vol in unrecorded spirits. One half of the samples (n=57) showed acceptable alcohol quality. The other half (n=58) showed one or several deficits with the most prevalent problem being ethyl carbamate contamination (n=29). Other problems included copper (n=20), manganese (n=16) and acetaldehyde (n=12). All other parameters (including methanol, higher alcohols, phthalates) were only seldom problematic (limit exceedance in less than 10 samples). The price of unrecorded alcohol was approximately 45% of the price of recorded alcohol. Conclusions. The major problem regarding unrecorded alcohol appears to be ethanol itself, as it is often higher in strength and its lower price may further contribute to higher drinking amounts. Compared to the health effects of ethanol, the contamination problems detected may be of minor importance as exposure will only in worst-case scenarios reach tolerable daily intakes of these substances.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), 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".