Bibliographic record
Abstract
OBJECTIVES: This analysis presents the prevalence of substance use among young adolescents. The extent to which factors such as peer behaviour, parenting practices and school commitment and achievement are associated with drinking to intoxication and other drug use is investigated. DATA SOURCE: The data are from the 1998/99 National Longitudinal Survey of Children and Youth. Analysis is based on a cross-sectional file from 4,296 respondents aged 12 to 15. ANALYTICAL TECHNIQUES: Prevalence estimates for alcohol and drug use were calculated by sex. Logistic regression models were fitted to estimate the odds of drinking to intoxication and drug use, adjusted for socio-demographic factors, peer and parent substance use, parenting practices, school commitment/attachment, emotional health and religious attendance. MAIN RESULTS: In general, drinking to intoxication and drug use were more common among 14- and 15-year-olds than among 12- and 13-year-olds. The odds of drinking to intoxication and drug use were highest among adolescents whose friends used alcohol or drugs or were often in trouble, who reported low commitment to school, or whose parents had a hostile and ineffective parenting style.
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 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 | 0.000 | 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) | 0.004 | 0.001 |
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".