Self-Perceived Strengths Among Adolescents With and Without Substance Abuse Problems
Bibliographic record
Abstract
The importance of examining positive aspects of youth development has been emphasized across disciplines involved in the care of youth with substance abuse problems. However, little is known about the strengths of adolescents with substance abuse problems, especially youth entering residential treatment. Utilizing the Strengths Assessment Inventory, a measure assessing psychological and social strengths, we examined patterns of strengths across groups of age- and gender-matched youth who reported no substance use, frequent substance use, and those entering treatment for severe substance use. Each group consisted of 43 participants ranging in age from 14 to 18 years. Results indicated that, on average, individuals entering treatment scored lower on personal strengths. However, through the use of more sophisticated statistical approaches, it was found that certain strengths were predictive of individuals belonging to the treatment group. Results are discussed in terms of their relevance to the treatment of adolescent substance abuse problems.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| 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 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".