Substance Use Profiles Among Juvenile Offenders: A Lifestyles Theoretical Perspective
Bibliographic record
Abstract
Base rates of illicit substances such as cocaine, crack cocaine, and heroin are typically low in community-based studies, which often inhibit more complex multivariate analysis. Additionally, single-item measures and aggregate scales mask within-group differences among those showing versatility in their substance use. Latent class analysis was used to model the substance use profiles of adjudicated female ( n = 98) and male ( n = 378) youth. Alcohol, marijuana, acid, mushrooms, ecstasy, cocaine, crack cocaine, heroin, crystal methamphetamine, and nonmedical use of prescription pills were used to define latent profiles of substance use. Three latent classes were identified that were qualitatively different across males and females. Multinomial logistic regression analyses indicated that time spent outside of the home of the biological parents, early substance use, and parental substance abuse were informative of the use of substances such as cocaine, crack cocaine, and heroin. Implications for more individualized treatment strategies are discussed.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".