Realizing and Imagining Schools as Sites of Community Care: Lessons from Children Playing During a Pandemic
Bibliographic record
Abstract
This paper is the result of an action research project that aimed to understand how families were playing during the COVID-19 pandemic and what action might support them. Schools were revealed as important yet taken-for-granted providers of community care for children through their offerings as spaces where children create friendships, move, engage in the arts, feel a sense of belonging, contribute, and play. This paper takes a strength-based approach to learn from children and families playing during the pandemic to explore such realizations of schools as sites of community care while also inviting and offerings imaginings of schools in partnership in care-offering alongside the community and children. Keywords: COVID-19, play, community care, aesthetics of play, schools, children and public space
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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 | 0.011 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.022 | 0.044 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.003 | 0.014 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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".