Physically apart but socially connected: Lessons in social resilience from community gardening during the COVID-19 pandemic
Bibliographic record
Abstract
Urban green spaces, like community gardens, received increased attention during the COVID-19 pandemic. Drawing from an ethnographic study on participating in community garden activities in Edmonton, Canada and inputs from 194 gardeners and 21 garden coordinators, this paper captures the experiences of creating community during a pandemic. Garden coordinators had to rethink and rework their operating styles in keeping participants physically apart but socially connected. Participants confirmed that garden activities provided respite from the pandemic restrictions. Findings also indicate that some participants missed group activities like work bees and potlucks while others were able to re-create community in digital spaces and in chanced and informal interactions. This study draws from and subsequently contributes to the existing literature on social resilience provided by community gardens during and after a crisis event. It also provides policy recommendations on how the city administration can help facilitate garden activities during times of disruptions.
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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 | 0.016 | 0.020 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".