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Record W2137001680 · doi:10.1111/1467-985x.00271

Tobacco: Public Perceptions and the Role of the Industry

2003· article· en· W2137001680 on OpenAlexaboutno aff
David Simpson, Sue Lee

Bibliographic record

VenueJournal of the Royal Statistical Society Series A (Statistics in Society) · 2003
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsnot available
Fundersnot available
KeywordsTobacco controlLegislationTobacco industryPromotion (chess)Control (management)Public healthPerceptionHealth promotionBusinessEuropean unionPublic policyPublic relationsPolitical scienceEnvironmental healthMedicinePsychologyEconomicsLawPoliticsEconomic policyNursingManagement

Abstract

fetched live from OpenAlex

Summary The paper briefly examines the substantial risks of smoking, and how people's perception of them may be influenced by tobacco control policy and by the activities of the tobacco industry. The comparative lack of effectiveness of the self-regulation system of implementing tobacco control policy is noted, illustrated by the example of cigarette pack health warnings, from the first examples under the voluntary system to the significantly more robust and effective pictorial warnings system pioneered by Canada and implemented by legislation, similar to measures recently approved by the European Union. Other aspects of tobacco control policy are discussed, including health education, restricting the promotion of tobacco and changing the social acceptability of smoking. Three areas of success in the UK—taxation, the leadership of doctors and sustained media advocacy—are described; and the paper concludes by looking at prospects for the future, with the forthcoming ban on most forms of tobacco promotion and the challenge of responding to growing demands to protect non-smokers from exposure to other people's tobacco smoke in the workplace and in public places.

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)0.001
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 score0.237
Threshold uncertainty score0.607

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.014
GPT teacher head0.272
Teacher spread0.258 · 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

Citations11
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueJournal of the Royal Statistical Society Series A (Statistics in Society)Same topicSmoking Behavior and CessationFrench-language works237,207