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Record W839704195 · doi:10.2478/cttr-2013-0728

The Development and Significance of Standards for Smoking-Machine Methodology

2002· article· en· W839704195 on OpenAlexaboutno aff
Rose M. Baker

Bibliographic record

VenueBeiträge zur Tabakforschung international · 2002
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsnot available
Fundersnot available
KeywordsTobacco industryAgency (philosophy)CommissionSubject (documents)Tobacco controlGovernment (linguistics)BusinessPublic relationsPolitical scienceMedicineComputer scienceLawPublic healthLibrary scienceSociology

Abstract

fetched live from OpenAlex

Abstract Bialous and Yach have recently published an article in Tobacco Control in which they claim that all smoking-machine standards stem from a method developed unilaterally by the tobacco industry within the Cooperation Centre for Scientific Research Relative to Tobacco (CORESTA). Using a few highly selective quotations from internal tobacco company memos, they allege, inter alia, that the tobacco industry has changed the method to suit its own needs, that because humans do not smoke like machines the standards are of little value, and that the tobacco industry has unjustifiably made health claims about low “tar” cigarettes. The objectives of this paper are to review the development of smoking-machine methodology and standards, involvement of relative parties, outline the significance of the results and explore the validity of Bialous and Yach's claims. The large volume of published scientific information on the subject together with other information in the public domain has been consulted. When this information is taken into account it becomes obvious that the very narrow and restricted literature base of Bialous and Yach's analysis has resulted in them, perhaps inadvertedly, making factual errors, drawing wrong conclusions and writing inaccurate statements on many aspects of the subject. The first smoking-machine standard was specified by the Federal Trade Commission (FTC), a federal government agency in the USA, in 1966. The CORESTA Recommended Method, similar in many aspects to that of the FTC, was developed in the late 1960s and published in 1969. Small differences in the butt lengths, smoke collection and analytical procedures in methods used in various countries including Germany, Canada and the UK, developed later, resulted in about a 10% difference in smoke “tar” yields. These differences in methodology were harmonised in a common International Organisation for Standardisation (ISO) Standard Method in 1991, after a considerable amount of interlaboratory comparisons of the developing methodology had been undertaken by CORESTA. As acknowledged by Bialous and Yach, the purpose of the standards is to determine the “tar”, nicotine and carbon monoxide content of cigarette smoke when the cigarette is smoked under precisely defined conditions, and hence to allow a comparison of the yields from different cigarettes when smoked under identical conditions. Such yields are not predictive of the yields humans obtain when smoking, nor were they ever expected to be so, since no two smokers smoke exactly the same nor does a smoker smoke a cigarette the same way on every occasion. This purpose has been stated consistently many times, originally by the FTC in 1967 and subsequently in the scientific literature, published by the tobacco industry and health/regulatory authorities, over the last 35 years. From the 1950s onwards numerous public health scientists have advocated that lower “tar” cigarettes should be developed on the grounds that they may reduce to some extent the risks of smoking, while at the same time advocating that the best way to avoid risks is not to smoke. Some health authorities have have used the standard machine-smoking yields to set limits on “tar” as a way of reducing the health impact of cigarette use. The tobacco industry has co-operated with these health authorities by developing cigarettes with lower “tar” but has also followed public health advice by not advertising lower “tar” cigarettes as safe cigarettes. The available evidence, taken as a whole, indicates that compensation by smokers who switch from a high to a low “tar” cigarette is partial in the short term, and that such smokers do obtain a reduction in smoke component uptake.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.452
Threshold uncertainty score0.306

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 head0.096
GPT teacher head0.369
Teacher spread0.274 · 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

Citations37
Published2002
Admission routes1
Has abstractyes

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