The correlates of smoking, and low fruit and vegetable intake among Québec adolescent females /
Bibliographic record
Abstract
Smoking and low fruit and vegetable intake (LFVI) are correlated with cardiovascular disease (CVD) and cancer, two leading causes of death in Canada and the U.S. The prevalence of smoking in Canadian and U.S. female adolescents has risen in the past ten years. Recent surveillance data also show that Canadian and U.S. female adolescents consume levels of fruit and vegetables far below national recommendations. The correlates of current smoking and LFVI among adolescent girls were investigated in a secondary data analysis of a multi-stage, stratified, cluster sample school survey of 13 and 16 year-old girls in Quebec, called the Quebec Children and Adolescent Health and Social Survey (QCAHS). Data were collected from 80.2% of eligible 13 year-old females and 81.4% of eligible 16 year-old females. Multivariate logistic analysis was used. Our results could be used to identify adolescent females at increased risk for smoking and LFVI. (Abstract shortened by UMI.)
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".