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Record W1499198730 · doi:10.1007/bf03405046

Cigarette use among Canadian undergraduates.

2003· article· en· W1499198730 on OpenAlexaffabout
Edward M. Adlaf, Louis Gliksman, Andrée Demers, Brenda Newton-Taylor

Bibliographic record

VenuePubMed · 2003
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
Fundersnot available
KeywordsResidenceDemographyTobacco controlSmoking prevalenceGeographySample (material)Environmental healthMedicinePublic healthSociology

Abstract

fetched live from OpenAlex

OBJECTIVE: To describe the prevalence of daily cigarette use among Canadian undergraduates. Estimates are also compared to earlier Ontario surveys. METHODS: Data are drawn from the Canadian Campus Survey, a national mail survey, conducted in the fall of 1998, with a random sample of 7,800 students from 16 universities. RESULTS: Overall, 17.1% reported daily cigarette smoking and 10.4% reported occasional smoking. Rates of daily smoking differed significantly by region (with rates above average among those attending university in the Atlantic and below average among those attending university in British Columbia and the Prairies), residence (those residing off campus without family reported the highest prevalence rate), and year of study (those in the final year typically reported lower rate of use). INTERPRETATION: University campuses represent an environment with potential gains to be made by tobacco control policies.

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 score0.019
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.045
GPT teacher head0.235
Teacher spread0.190 · 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

Citations28
Published2003
Admission routes2
Has abstractyes

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