Factors associated with Indigenous youths' abstinence from drinking
Bibliographic record
Abstract
The proportion of youth who abstain from alcohol use decreases during adolescence but little attention has focused on factors associated with abstinence. No research has examined this question for Indigenous youth, many of whom live in communities experiencing high rates of alcohol-related health problems. Using data from a longitudinal study of Indigenous youth (n = 649, ages 10-17 years) in the U.S. and Canada, the current study investigates factors associated promoting or decreasing abstaining from alcohol use. Results from generalized linear growth models demonstrate that abstinence declines significantly during adolescence. In concurrent models, caretaker monitoring and school adjustment increased the odds of abstaining, and frequency of smoking cigarettes and number of best friends who drink decreased the odds. In lagged analysis, only school adjustment, smoking, and peer drinking remained significant. Time-stable characteristics moderated several time-varying associations. This study has important implications for programs aimed at encouraging alcohol abstinence.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".