Can Teachers’ Behavior Ratings Be Used to Screen Early Adolescent Boys for Psychiatric Diagnoses?
Bibliographic record
Abstract
The present study examined if a short, 22-item teacher rating questionnaire could be used to screen young adolescent boys for psychiatric diagnoses. Subjects were 239 12-year-old boys from a community sample of low socioeconomic status families. Child and parent versions of the Diagnostic Interview Schedule for Children were used to provide DSM-III-R diagnoses. Results show a low to moderate screening value for the Short Social Behavior Questionnaire (S-SBQ) scales, with best results for externalizing disorders. The method used to establish the diagnoses had an impact on the screening efficacy of the S-SBQ, higher prevalence rates resulting in a lower proportion of false-positives for the same cutoff point. Additional research is needed to assess the screening efficacy of the S-SBQ across ages and gender, but results suggest that teacher ratings with the S-SBQ could be used to screen boys with externalizing disorders at the end of elementary school.
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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 | 0.004 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".