Own and Friends' Smoking Attitudes and Social Preference as Early Predictors of Adolescent Smoking
Bibliographic record
Abstract
This study examined the role of friends' attitudes in adolescent smoking (N = 203). Growth mixture modeling was used to identify three trajectories of smoking behavior from ages 12 to 14 years: a low-rate group, an increasing-rate group, and a high-rate group. Adolescents' own and their friends' attitudes at age 11 years were not significantly related to smoking. However, in the increasing-rate group (compared with the low-rate group), friends' attitudes interacted with both adolescents' own and friends' social preference (i.e., likeability). The link between friends' attitudes and membership in the increasing-rate group was stronger for early adolescents with low social preference scores and for early adolescents with friends who had low social preference scores. Other than for the high-rate group, for which causal factors of smoking may be located early in childhood (e.g., family and personality or temperamental characteristics), the combination of low social preference and friends who hold a positive attitude toward smoking is associated with escalating cigarette use among young adolescents.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".