Resilience in the face of crisis: investigating COVID-19 impacts on urban community gardens in Greater Toronto Area, Canada
Bibliographic record
Abstract
Purpose Urban community gardens (UCGs) are important sources of community, food and greenspaces in urban environments. Though UCGs in the Greater Toronto Area (GTA) of Ontario, Canada, were considered essential during the COVID-19 lockdowns and therefore open to gardeners, the impact of the COVID-19 pandemic on food security and UCG use among garden members and managers is not fully understood. Design/methodology/approach This was an exploratory qualitative study. Semi-structured interviews were conducted with seven managers and eight members of nine gardens in the GTA. The data were analyzed using thematic analysis. Findings The results suggest that UCGs helped participants be resilient to COVID-19 pandemic-related stressors through the provision of cultural ecosystem services. Therefore, this study supports the current literature that UCGs can help foster resilience during crises. While participants in this study did not end up being food insecure, participants did express concern about community food security. Practical implications Results contribute to the current body of literature, and can be used to further update and develop UCG policies, as well as help develop UCG infrastructure and management strategies for future crises. Originality/value The impacts of the pandemic on Canadian UCGs are not well understood. This research paper investigated the impact of the pandemic on UCG use and food security, as well as the link between UCG use and increased resilience to COVID-19-related stressors.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".