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Record W2140502797 · doi:10.1136/tc.12.4.346

World: how Formula One swerved round health

2003· article· en· W2140502797 on OpenAlexaboutno aff
Luk Joossens

Bibliographic record

VenueTobacco Control · 2003
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsAdvertisingBusiness

Abstract

fetched live from OpenAlex

On the same day that Formula One (F1) strategies to undermine tobacco control legislation were discussed at the World Conference on Tobacco or Health in Helsinki, news agencies reported that the Canadian Grand Prix was to be dropped from the 2004 calendar. F1 boss Bernie Ecclestone insisted that tobacco advertising was the sole reason for the decision. “Our problem is quite simple. The Formula One teams with tobacco-related sponsorship lose part of their revenue when a certain percentage of the events ban tobacco sponsorship.” This was the reason the Belgian Grand Prix was not included in the 2003 calendar, he added. ![Graphic][1] Canada: A bilingual postcard created by Carte Blanche, a communication marketing agency in Montreal, pre-addressed to Bernie Ecclestone for Canadians to send to the Formula One boss to protest against the loss of Canada’s top motor race. In all, 108 000 cards were distributed by the Pop Media network, and several newspapers ran ads to build awareness and support for the campaign. On the back of the card was a message asking Ecclestone whether F1 was as addicted to the tobacco industry as are billions to cigarettes, and demanding that he reconsider his sponsorship policy. In Belgium a law was passed in 1997 banning all tobacco advertising and sponsorship from 1 January 1999 (including F1 sponsorship). Since January 1997, there have been five attempts in the Belgian … [1]: /embed/graphic-1.gif

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.734
Threshold uncertainty score0.976

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.043
GPT teacher head0.285
Teacher spread0.242 · 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 designNot applicable
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

Citations1
Published2003
Admission routes1
Has abstractyes

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