Promoting Resilience in High-risk Children in Jamaica: A Pilot Study of a Multimodal Intervention.
Bibliographic record
Abstract
OBJECTIVE: To assess the effectiveness of a multimodal afterschool and summer intervention called the Dream-A-World (DAW) Project for a cohort of school-aged Jamaican children from an impoverished, disadvantaged inner-city community in Kingston, Jamaica. Children were selected by their teachers based on severe disruptive disorders and academic underachievement and compared with a matched control group. The pilot was a child focused therapeutic modality without parental intervention for disruptive conduct and academic failure. METHOD: A group psychotherapeutic intervention of creative arts therapies and remedial academic support adapted for the Jamaican context was implemented with 30 children from an inner-city primary school. The intervention was implemented over 2½ years spanning grade three to six with evaluation of outcomes using the ASEBA Teacher Report Form (TRF) and end of term grades for the intervention group versus matched controls who were offered usual school supports. RESULTS: The intervention group made significant improvements in school social and behavior adjustment measured by the TRF, with more successful outcome amongst boys for behavioral gains. No significant improvements were made by the girls. Limitations of cohort size, lack of parent data and questions of gender disparities in outcome were unresolved interpretative issues. CONCLUSION: This multi-modal mental health and academic intervention for high-risk children living in an impoverished, violent neighbourhood, improved global functioning of boys more than girls, and raised questions for design of further preventive planning.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".