Opening neighbourhood streets for community-building and children's outdoor free play
Bibliographic record
Abstract
Street play interventions have the potential to socially benefit children and all community members within a neighbourhood, which have increasingly been taken over by vehicles. The StreetPLAY pilot program implemented in the city of Toronto by Earth Day Canada is the first-of-its-kind in Canada. Surveys in the neighbourhood were analyzed to explore the social benefits, associations between demographics and perceptions, and potential for replication in similar urban neighbourhood contexts. The results from independent sample t-tests and ANOVA tests indicate community member’s age and status as a parent was statistically significant to perceptions of community connectivity following StreetPLAY programming. The findings from this research confirm the social benefits to the community and contribute to novel Canadian research on play interventions; they are a quick and inexpensive form of tactical urbanism programming to create opportunities for children’s outdoor free play and community gathering. Keywords: Outdoor play, streets as public space; tactical urbanism; community building, health and wellbeing
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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 | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.013 | 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".