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Does minimum pricing reduce alcohol consumption? The experience of a Canadian province

2011· article· en· W1537177379 on OpenAlex

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAddiction · 2011
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsAlcohol consumptionConsumption (sociology)Environmental healthAlcoholMedicinePsychologyBusinessEconomicsSociology

Abstract

fetched live from OpenAlex

AIMS: Minimum alcohol prices in British Columbia have been adjusted intermittently over the past 20 years. The present study estimates impacts of these adjustments on alcohol consumption. DESIGN: Time-series and longitudinal models of aggregate alcohol consumption with price and other economic data as independent variables. SETTING: British Columbia (BC), Canada. PARTICIPANTS: The population of British Columbia, Canada, aged 15 years and over. MEASUREMENTS: Data on alcohol prices and sales for different beverages were provided by the BC Liquor Distribution Branch for 1989-2010. Data on household income were sourced from Statistics Canada. FINDINGS: Longitudinal estimates suggest that a 10% increase in the minimum price of an alcoholic beverage reduced its consumption relative to other beverages by 16.1% (P < 0.001). Time-series estimates indicate that a 10% increase in minimum prices reduced consumption of spirits and liqueurs by 6.8% (P = 0.004), wine by 8.9% (P = 0.033), alcoholic sodas and ciders by 13.9% (P = 0.067), beer by 1.5% (P = 0.043) and all alcoholic drinks by 3.4% (P = 0.007). CONCLUSIONS: Increases in minimum prices of alcoholic beverages can substantially reduce alcohol consumption.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.118
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.050
GPT teacher head0.282
Teacher spread0.232 · 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