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Record W1866997199 · doi:10.1111/josh.12719

Retailer Compliance as a Predictor of Youth Smoking Participant and Consumption

2019· article· en· W1866997199 on OpenAlexafffundabout
Rashid Ahmed, Alan Diener, Saad Bahri

Bibliographic record

VenueJournal of School Health · 2019
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsPublic Health Agency of Canada
FundersHeart and Stroke Foundation of Canada
KeywordsCompliance (psychology)Youth smokingConsumption (sociology)BusinessCigarette smokingSmoking preventionEnvironmental healthSample (material)Price elasticity of demandSmoking prevalenceAdvertisingPsychologySmoking cessationEconomicsTobacco controlMedicineSocial psychologyPublic healthMicroeconomicsNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Ninety percent of smokers report having their first whole cigarette before the age of 19. Policies, such as youth access laws, are essential to prevent youth from becoming future smokers. In Canada, the Tobacco Act prohibits retailers from furnishing tobacco products to individuals under the age of 18. These laws can only be effective when retailers comply with them. This paper investigates the effect of retailer compliance on youth smoking behavior. METHODS: Data on individual smoking behavior in conjunction with provincial retailer compliance rates and cigarette prices for the years 1999-2005 were employed to examine the effects of retailer compliance on youth smoking participation and consumption. RESULTS: Both price and retailer compliance were significant predictors of smoking participation. A large portion of participants endorsed obtaining their cigarettes through social means. Price elasticity of demand for the overall sample was estimated to be -0.54. CONCLUSIONS: Consistent with previous literature, our results found that retailer compliance is an essential component to the successful implementation of youth access laws. Given that youth access laws and retailer compliance did not quell social access to cigarettes, there is an apparent need within schools and communities to reduce the social sale of tobacco products.

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)0.001
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 score0.003
Threshold uncertainty score0.207

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.189
GPT teacher head0.395
Teacher spread0.206 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations3
Published2019
Admission routes3
Has abstractyes

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