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Record W2146751967 · doi:10.20882/adicciones.156

Quality of illegally and informally produced alcohol in Europe: Results from the AMPHORA project

2011· article· en· W2146751967 on OpenAlex
Dirk W. Lachenmeier, Jenny Leitz, Kerstin Schoeberl, Thomas Kuballa, Irene Straub, Jürgen Rehm

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueAdicciones · 2011
Typearticle
Languageen
FieldMedicine
TopicAlcohol Consumption and Health Effects
Canadian institutionsPublic Health OntarioUniversity of TorontoCentre for Addiction and Mental Health
Fundersnot available
KeywordsAmphoraAlcoholAcetaldehydeEthyl carbamateAlcohol consumptionAlcohol contentPer capitaEnvironmental healthEthanolPublic healthMedicineToxicologyGeographyChemistryWineFood scienceBiologyBiochemistry

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.099
Threshold uncertainty score0.482

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.259
GPT teacher head0.400
Teacher spread0.141 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it