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Record W2523367367 · doi:10.1108/ijsms-05-02-2003-b002

Effects of F1 Grand Prix Sponsorship by Cigarette Brands on Adolescents' Cognitive and Behavioural Responses

2003· article· en· W2523367367 on OpenAlexaffabout
Jean‐Charles Chebat, François Daoud

Bibliographic record

VenueInternational Journal of Sports Marketing and Sponsorship · 2003
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsAdvertisingPersonalityConsumption (sociology)Promotion (chess)Identification (biology)BusinessMarketingPsychologyCognitionSocial psychologyPolitical scienceSociology

Abstract

fetched live from OpenAlex

The strategic importance of sponsorship of sports events by the tobacco industry has been increasing since tobacco firms have been constrained in their advertising activities. The present study will provide further insight to this critical promotion tool for cigarette brands. Specifically, it will focus on the effects of tobacco companies' sponsorship at the Montreal F1 Grand Prix on adolescents' cognitive and behavioral responses, i.e. identification with cigarette brands and brands' personality, and consumption of cigarettes. A questionnaire was administered to a sample of adolescents before and after the Grand Prix. Both sponsoring and non-sponsoring brands benefited from the Grand Prix, since the perceived brand personality and the identification with the brands were enhanced by the event. These findings tend to confirm that such sporting events are efficient ways to increase cigarette consumption and brand identification, especially for older male adolescents who are interested in car races.

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)0.003
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 score0.049
Threshold uncertainty score0.746

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.015
GPT teacher head0.246
Teacher spread0.231 · 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

Citations10
Published2003
Admission routes2
Has abstractyes

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