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Record W2599790975 · doi:10.21149/7735

Exposición a la publicidad de tabaco y consumo de tabaco en adolescentes en América del Sur

2017· article· es· W2599790975 on OpenAlexaff
Geneviève Plamondon, Guillermo Paraje

Bibliographic record

VenueSalud Pública de México · 2017
Typearticle
Languagees
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsUniversité de MontréalMcMaster UniversitySante Montreal
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

OBJECTIVE:: To assesses the statistical association between exposure to tobacco marketing and tobacco consumption among adolescents in South America, by using data from the Global Youth Tobacco Survey. MATERIALS AND METHODS:: Using data from the Global Youth Tobacco Survey (GYTS), the exposure to tobacco marketing at the school level was studied from advertising in TV, radio, massive public events and street advertisement. Tobacco behaviour was considered. The total pooled sample used was 134 073 youths from Argentina, Bolivia, Chile, Peru, Brazil, Uruguay, Suriname, Colombia, Guyana, Ecuador, Paraguay and Venezuela. RESULTS:: The exposure to tobacco marketing is positively and significantly associated to the probability of youths experimenting with tobacco (at least once in their lifetime). For regular smokers, exposure to tobacco marketing is positively and significantly associated to smoking intensity. CONCLUSIONS:: These results call for the implementation of strong restrictions on tobacco advertisement of various types in South American countries.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.043
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0020.000

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 head0.023
GPT teacher head0.317
Teacher spread0.294 · 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 source (direct Gemma or distilled Codex), 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

Citations6
Published2017
Admission routes1
Has abstractyes

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