The internet trade of counterfeit spirits in Russia – an emerging problem undermining alcohol, public health and youth protection policies?
Bibliographic record
Abstract
<ns4:p>Counterfeit alcohol belongs to the category of unrecorded alcohol not reflected in official statistics. The internet trade of alcoholic beverages has been prohibited by the Russian Federation since 2007, but various sellers still offer counterfeit spirits (i.e., forged brand spirits) over the internet to Russian consumers, mostly in a non-deceptive fashion at prices up to 15 times lower than in regular sale. The public health issues arising from this unregulated trade include potential harm to underage drinkers, hazards due to toxic ingredients such as methanol, but most importantly alcohol harms due to potentially increased drinking volumes due to low prices and high availability on the internet. The internet sale also undermines existing alcohol policies such as restrictions of sale locations, sale times and minimum pricing. The need to enforce measures against counterfeiting of spirits, but specifically their internet trade should be implemented as key elements of alcohol policies to reduce unrecorded alcohol consumption, which is currently about 33 % of total consumption in Russia.</ns4:p>
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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 | 0.009 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".