School recess, social connectedness and health: a Canadian perspective
Bibliographic record
Abstract
Children need opportunities to establish positive social connections at school, yet many school playgrounds are challenged by social conflict that can undermine these connections. When children's social needs go unmet, the resultant feelings of loneliness, isolation and self-doubt can cumulatively lead to mental and physical illness. Because recess is typically the only time during the school day that children are free to socialize and play, we propose a more thoughtful way of thinking about it: from the lens of belongingness. Schools are, historically, designed for instruction. We argue, however, that we need to attend to children's social needs at school. We highlight current research from social neuroscience, belonging and social connectedness in order to delineate the pathways between daily school recess and developmental health trajectories. We then consolidate an array of research on play, social interaction and school change to suggest four areas that could benefit from consideration in research, practice and policy: (i) the culture of recess, (ii) the importance of healthy role models on the playground, (iii) the necessity of activities, options and variety during recess and (iv) the significance of space and spatial layout (indoor and outdoor). We bridge our discussion with the conception of health as described in the Ottawa Charter and emphasize the need to build alliances across sectors to assist schools in their efforts to support children's overall health needs.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.009 |
| Science and technology studies | 0.022 | 0.013 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".