Psychiatric and Behavioral Characteristics Among Male Adolescents With Sexually Acting Out Behaviors Admitted to a Residential Treatment Facility
Bibliographic record
Abstract
One quarter of sexual offenses in the criminal justice system are committed by children and adolescents. Mental health conditions, trauma history, and relationship to the victim may play a role in sexually acting out behaviors (SAB). A retroactive chart review was performed to discover commonalities among 109 adolescent males with SAB admitted to a residential treatment facility. Variables of interest included prior mental health diagnoses, trauma history, full scale intelligence quotient (IQ), relationship to the victim, sex of victim, history of multiple offenses, and history of sexually acting out on an individual aged ≤4 years. Results indicated that 70.6% of the sample had a diagnosis of attention-deficit/hyperactivity disorder, 24.7% had a full scale IQ <90, 41.3% had sexually acted out on more than one victim, and 22.9% sexually acted out solely on males. Pearson's chi-square analysis indicated a non-significant relationship between diagnostic groups and victim characteristics. [ Journal of Psychosocial Nursing and Mental Health Services, 60 (9), 29–36.]
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".