Seeds and the city: a review of municipal home food gardening programs in Canada in response to the COVID-19 pandemic
Bibliographic record
Abstract
In the wake of the COVID-19 pandemic in Canada, home food gardening articles have saturated popular media outlets. Home food gardening is more popular than ever, and community gardens and community greenhouses are at capacity with long waiting lists for plots. Several local governments across the country are also participating in the food gardening craze. This study compares 19 municipal urban home food gardening programs that ran in 2020. These municipalities provided program participants with free gardening supplies and instructions on how to grow food at home. This study reveals a complicated relationship among municipalities, food gardening programs and household and community food security. The study also determines that the social and emotional challenges brought about by the COVID-19 pandemic are somewhat alleviated through gardening. Ultimately, municipalities are limited in their policy capacities to adequately move the needle on food insecurity in Canada.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".