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Record W2073967418 · doi:10.1136/tc.2009.030445

Adverse effects of a social contract smoking prevention program among children in Québec, Canada

2009· article· en· W2073967418 on OpenAlexaffabout
Sebastien S. Kairouz, Jennifer O’Loughlin, Johanne Laguë

Bibliographic record

VenueTobacco Control · 2009
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsCentre Hospitalier de l’Université de MontréalInstitut National de Santé Publique du QuébecUniversité de MontréalConcordia University
Fundersnot available
KeywordsSmokeEnvironmental healthTobacco smokeCompetition (biology)Intervention (counseling)Youth smokingMedicinePeer pressureBaseline (sea)PsychologyFamily medicineMedical educationPublic healthTobacco controlSocial psychologyGeographyPolitical scienceNursing

Abstract

fetched live from OpenAlex

OBJECTIVE: To evaluate the impact of a smoke-free class competition in elementary schools in Québec, Canada before widespread dissemination of the program across the province. METHODS: In a quasiexperimental study design, 843 students in 27 schools exposed to "Mission TNT.06" were compared to 1213 students in 57 matched comparison schools. Baseline data were collected in grade 6 prior to implementation of the program. Follow-up data were collected in grade 7 after students had transitioned to secondary school. RESULTS: The program improved knowledge about the harmful effects of second-hand smoke, but had no impact on knowledge about the harmful effects of smoking, attitudes about the acceptability of cigarettes, beliefs about the tobacco industry, or self-efficacy to resist peer pressure to smoke. After exposure to the program, intervention students were more likely to misreport their smoking status and to report unfavourable attitudes about classmates who smoke. CONCLUSION: Mission TNT.06 may encourage young smokers to misreport their smoking status and to marginalise classmates who smoke. These findings prompted recommendations to conduct more in-depth evaluation of the smoke-free class competition before widespread dissemination of the program across the province.

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.086
Threshold uncertainty score0.584

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.005
GPT teacher head0.256
Teacher spread0.251 · 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

Citations13
Published2009
Admission routes2
Has abstractyes

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