Levelling the Playing Fields: A Pilot Intervention
Bibliographic record
Abstract
Abstract Despite the benefits of outdoor free-play for children (physical activity, well-being, independent mobility), access to urban spaces for play is on the decline in many cities. As such, there are increasing calls from public health officials, city planners and childhood advocates in Canada to promote outdoor play in cities. Responding to these calls, our pilot intervention will examine whether creating urban play spaces through road closures around schools and in neighbourhoods can increase children’s outdoor play, physical activity and social interaction among residents. The year-long intervention will involve road closures in four Montreal (Canada) neighbourhoods with different socio-economic profiles. After a diagnostic portrait of each site, participatory planning will engage children aged 8-12 and youth aged 13-18 to help redesign their neighbourhood streets for better access and playability. Outdoor play will be measured using a “playability index” to determine if increased outdoor play is due to intervention changes. Children’s physical activity, play and mobility patterns will be captured with GPS loggers and accelerometers, and play duration and location will be recorded through daily diaries. Questionnaires will be given to parents and children regarding changing behaviours and perceptions about outdoor play, risk/safety and independent mobility. While still in a pilot phase, this paper will present the intervention approach and outline how it promises to impact multiple components of urban life for children and adults (physical/mental health, safety, social interaction, environment/equity). The intervention is innovative by engaging children and families in its design and development, and by involving schools, municipalities and residents in its implementation and assessment. This co-creation and development promises broad impacts on local social practices and policy development, results which may be transferable to other Canadian and international cities. Key messages Access to urban outdoor play is critical for children’s well-being. Road closures can increase urban outdoor play, thereby contributing to physical and mental health and promoting social interaction. Child and youth participation in the planning and development of urban play spaces can increase their relevance and broaden their social, environmental, health and policy impacts.
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".