The Better Beginnings, Better Futures Project: A Universal, Comprehensive, Community-Based Prevention Approach for Primary School Children and Their Families
Bibliographic record
Abstract
Evaluated a community-based, universal project designed to prevent emotional and behavioral problems and promote general development in young children, while also attempting to improve family and neighborhood characteristics, to link effectively with existing services, and to involve local residents in project development and implementation. The research involved 554 4-year-old children and their families living in 3 disadvantaged neighborhoods in Ontario, Canada. Longitudinal analyses of changes over the first 5 years of project operation indicated significant improvements in children's and parents' social-emotional functioning and physical health, parenting behaviors, and neighborhood and school characteristics. The findings from the Better Beginnings, Better Futures Project are encouraging and provide unique evidence for the extent to which a universal, comprehensive, community-based prevention strategy can promote the longer term development of young children, their families, and their neighborhoods.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".