Substance Use Problem Trajectories in Canadian Adolescents: A Longitudinal Study.
Bibliographic record
Abstract
Background: . Objective: The present study examined the trajectory of substance use disorder symptoms, particularly beginning in early adolescence and within a Canadian context. Methods: = 0.67, 49.7% female, 57.6% White). Latent class analysis was conducted to identify substance use disorder symptom classes based on participants' responses on a substance use disorder screener across the three waves. Group differences tests were also computed to examine if the substance use classes differed in participants' demographics. Results: 46, 6.0%) substance use. Among the demographic variables, non-White ethnicity, both parents being born outside of Canada, and parents' completion of post-secondary education were significantly associated with a less severe substance use class. Conclusions: Results fill a gap in the evidence on the trajectory of symptoms of substance use disorder among adolescents, using a Canadian sample, an area of limited study. Results highlight an at-risk group (i.e., high-risk relapse class) that warrants further tailored prevention and intervention efforts.
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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 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".