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Record W2159503758 · doi:10.1136/tc.2010.037507

Contraband cigarette consumption among adolescent daily smokers in Ontario, Canada: Table 1

2010· letter· en· W2159503758 on OpenAlexaffabout
Russell C. Callaghan, Scott Veldhuizen, D. Ip

Bibliographic record

VenueTobacco Control · 2010
Typeletter
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsPublic Health OntarioUniversity of TorontoOntario Tobacco Research UnitCentre for Addiction and Mental Health
Fundersnot available
KeywordsTobacco controlConsumption (sociology)Environmental healthBlack marketMedicineTobacco useConventionTobacco industryYouth smokingBusinessPublic healthPolitical science

Abstract

fetched live from OpenAlex

The WHO Framework Convention on Tobacco Control (FCTC) states that the elimination of illicit trade in tobacco is an essential component of tobacco control.1 Contraband tobacco may be particularly attractive to adolescent smokers, owing to its lower price and lack of point-of-sale age restrictions. At this time, however, little is known about youth involvement in the illicit tobacco trade. According to the Royal Canadian Mounted Police,2 the bulk of the Canadian contraband tobacco supply comprises cheap, untaxed cigarettes manufactured on, and smuggled from, the US side of the Akwesasne First Nations/Native (American Indian) community, which straddles the US-Canada border across regions in upper New York State, Ontario and Quebec. The Canadian tobacco black market is also supplied by manufacturing facilities in Canada, however, as well as by other sources.2 The present study aims to assess the usage prevalence and market share of reserve-manufactured contraband cigarettes, commonly known as Native cigarettes, among high school daily smokers in Ontario, Canada. Data came from the 2009 Ontario Student Drug Use and Health Survey (OSDUHS),3 a provincially representative, school-based survey of …

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.172
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.007
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 head0.017
GPT teacher head0.227
Teacher spread0.210 · 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; both teacher heads agree on what is shown here.

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

Citations9
Published2010
Admission routes2
Has abstractyes

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