Community change: the complex nature of interventions to promote positive connections
Bibliographic record
Abstract
Over the past two decades, inspired primarily by Bronfenbrenner's (1979) ecological theory of development, research has increasingly demonstrated that aspects of the local community can have a marked impact on child and family wellbeing. With concerns about the disconnect in society and the social milieu in which the next generation are growing up, there have been a range of interventions to make change at the community level. These have been designed to enhance parenting behavior, parental mental health, child academic achievement, and the mental health and wellbeing of children and young people. They include major interventions in the United Kingdom, Australia, Canada, and the United States, as well as many smaller scale interventions for specific populations. A major focus here is the evaluation of the Sure Start initiative in the United Kingdom. This chapter outlines some of the issues faced by community interventions and explores those that have made headway in establishing a paradigm for positive change.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 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".