Can Institutionalized Adolescent Females With a Substantiated History of Sexual Abuse Benefit From Cognitive Behavioral Treatment Targeting Disruptive and Delinquent Behaviors?
Bibliographic record
Abstract
The present study examined to what extent adolescent females in residential care with a substantiated history of sexual abuse can benefit from a cognitive behavioral treatment (CBT) targeting disruptive and delinquent behaviors. In total, 104 adolescent females in the treatment group and 78 adolescent females in the comparison group were included in the evaluative design. Latent growth models (LGM) were performed to model change in adolescent females’ conduct and anger problems. In the short term, 3 months after the treatment, adolescent females with sexual abuse experiences receiving CBT showed stronger declines in trait anger and anger expression compared with the other groups. Furthermore, in the long term, 18 months after admission, this group of females showed larger declines in proclivity for trading sex compared with the other groups. Results are discussed in the light of the “what works” literature for effective interventions.
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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 | 0.000 | 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 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".