A Model Intervention for Girls with Disruptive Behaviour Disorders: The Earlscourt Girls Connection.
Bibliographic record
Abstract
In 1996, the Earlscourt Girls Connection (EGC), a gender-specific programme for young girls with conduct problems, was initiated at Earlscourt Child and Family Centre, a children's mental health agency. As part of an evaluation of the EGC, analyses of behavioural change according to primary caregivers' ratings were conducted comparing admission scores with 6-month (N = 72) and 12-month (N = 58) follow-up. At follow-up, the girls were rated as lower on the total score for externalizing behaviours and on several internalizing and externalizing subscales of the Standardized Client Information Systems (SCIS). The girls were also rated as having increased prosocial behaviours. Differences in scores on externalizing behaviours ranged from small to medium effects, and a large effect for the improvement in social relations. Variability in intervention responsiveness provided direction for future development of this multifaceted treatment programme for aggressive girls.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".