Quelle est la part des taxes dans le prix d’une boisson alcoolisée type au Canada et pourquoi est-ce important?
Bibliographic record
Abstract
Introduction Les distillateurs et les brasseurs canadiens ont affirmé que les taxes gouvernementales représentent entre 50 % et 80 % du prix des boissons alcoolisées. Ces affirmations ont été formulées dans le cadre de campagnes visant à réduire les taxes sur l’alcool. Méthodologie Nous avons examiné le bienfondé de ces affirmations au moyen des données de Santé Canada accessibles au public ainsi que des données provinciales sur les ventes par produit et la ventilation des prix des boissons alcoolisées types dans les principaux secteurs de marché. Résultats Dans tous les cas, les taux de taxe de vente totale et de taxe d’accise se situent généralement entre 20 % et 30 % du prix de détail final, soit bien en deçà de ce qu’avancent les représentants de l’industrie.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".