Substance Use Profiles Among Juvenile Offenders: A Lifestyles Theoretical Perspective
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it