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Record W2126950547 · doi:10.1080/1462220412331320716

Use of and beliefs about light cigarettes in four countries: Findings from the International Tobacco Control Policy Evaluation Survey

2004· article· en· W2126950547 on OpenAlexafffundabout
Ron Borland, Hua‐Hie Yong, Bill King, Geoffrey T. Fong, Tara Elton‐Marshall, David Hammond, Ann McNeill

Bibliographic record

VenueNicotine & Tobacco Research · 2004
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsUniversity of Waterloo
FundersCenters for Disease Control and PreventionCancer Council VictoriaUniversity of Illinois at ChicagoUniversity of Waterloo
KeywordsTobacco controlLibrary scienceMedicinePolitical sciencePublic healthComputer scienceNursing

Abstract

fetched live from OpenAlex

This study examined reported use of, and beliefs about, so-called light cigarettes among adult smokers in four countries: Australia (Aus), Canada (Can), the United Kingdom (U.K.) and the United States (U.S.). The method used was parallel telephone surveys among 9,046 smokers across the four countries. The results indicated that more than half of all smokers in each country except the U.K. reported smoking light cigarette brands. A majority of smokers surveyed in each country except Canada continue to believe that light cigarettes offer some health benefit compared to regular cigarettes (Canada 43%, U.S. 51%, Australia 55%, U.K. 70%). A majority of smokers in all four countries believed that light cigarettes are smoother on the throat and chest than regular cigarettes. Predictors of use of light cigarettes and beliefs about possible benefits were very similar in the four countries. These results demonstrate an ongoing need for public education about why light cigarettes do not reduce harm and do not make quitting easier. The results provide further evidence for the need for regulatory measures in all four countries to prohibit the use of misleading light and mild descriptors including package imagery in product marketing (as prescribed in Article 11 of the Framework Convention on Tobacco Control), abandon the use of standard FTC/ISO tar and nicotine yields as consumer information, and adopt policies to regulate deceptive design features of cigarettes, such as ventilated filters.

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)0.004
metaresearch head score (Gemma)0.005
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 score0.017
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.144
GPT teacher head0.411
Teacher spread0.267 · 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

Citations111
Published2004
Admission routes3
Has abstractyes

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