Empirical Regularities in Cross‐Country Alcohol Consumption*
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.
Bibliographic record
Abstract
This paper analyses the demand for the three beverages: beer, wine and spirits, within alcohol, at a cross‐country level for 10 countries: Australia, Canada, Finland, France, Japan, New Zealand, Norway, Sweden, the UK and the US. A number of empirical regularities were found at the cross‐country level. This includes: (i) the demand theory hypotheses, homogeneity and symmetry are generally acceptable; (ii) the additive utility hypothesis is also acceptable even for such narrowly defined commodities; (iii) in nine out of the 10 countries, beer is considered as a necessity, in half of the countries wine is a necessity and in all the countries spirits are a luxury; and (iv)in all the countries, the demand for beer, wine and spirits are price inelastic.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.003 | 0.008 |
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 it