Bibliographic record
Abstract
Substance-related disorders (SRD) are common psychiatric morbidities among adolescents within youth correctional systems. Identification and treatment of SRDs is critical for successful reformation and reintegration. Lack of simple, structured, valid, brief screening instruments that can be easily administered and scored by lay workers militates against screening for SRDs. We present the results of the reliability and concurrent validity of the CRAFFT (acronym for Car, Relax, Alone, Forget, Friends, and Trouble) substance abuse screening instrument among residents of youth correctional facilities in Lagos, Nigeria. Adolescents who screened positive on CRAFFT were further assessed with the Kiddie Schedule for Affective Disorders and Schizophrenia (K-SADS) to determine whether they met diagnostic criteria for SRDs. The mean CRAFFT scores for all the adolescents (<i>n</i> = 178) was 0.66 (SD ± 1.45). A total of 23 (12.9%) had CRAFFT scores of >1.00. The CRAFFT instrument has good internal consistency (Cronbach's α = 0.85) and 2-week test reliability (Spearman correlation = 0.979; <i>p</i> < .001). At a cutoff point of >1.00, CRAFFT had the best sensitivity and specificity (area under the curve = 0.889; 95% confidence interval 0.765-1.000) among the participants. As validated, the CRAFFT is a reliable instrument for screening for SRDs in incarcerated youth.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".