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Record W3206222761 · doi:10.24095/hpcdp.41.10.06

Cigarette affordability in Canadian provinces: a 10-year review

2021· review· en· W3206222761 on OpenAlexaffvenueabout
Melissa Worrell, Les Hagen

Bibliographic record

VenueHealth Promotion and Chronic Disease Prevention in Canada · 2021
Typereview
Languageen
FieldSocial Sciences
TopicCanadian Policy and Governance
Canadian institutionsUniversity of AlbertaAlberta Health Services
Fundersnot available
KeywordsWelfare economicsConsumption (sociology)Political scienceEconomicsGeographyEconomySociologySocial science

Abstract

fetched live from OpenAlex

The association between pricing and cigarette consumption is long-established. However, the effects of taxation alone can be diminished if relative income increases. Therefore, affordability is seen as a key determinant of demand for cigarettes, as it combines the impact of changing prices with economic growth or wage increases. This brief analysis employs methods used by the World Health Organization in examining cigarette affordability, and explores the trend in affordability across Canadian provinces over a 10-year period, from 2009 to 2019. The discussion illustrates how monitoring affordability over time can help policy makers in Canadian provinces design tobacco taxation for maximum impact.

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.

How this classification was reachedexpand

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.874
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.052
GPT teacher head0.388
Teacher spread0.336 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations5
Published2021
Admission routes3
Has abstractyes

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