Gardening Radicalism: Cultivated Front Yard Gardens in Toronto’s Trinity-Bellwoods Neighbourhood as a Method of Developing Diverse Community Economies
Bibliographic record
Abstract
The multiple ecological and social crises that we currently experience due to neoliberal principles and behaviours have caused alternative economic frameworks to be considered to address these crises. One suggested framework is Gibson-Graham’s Diverse Community Economies (DCE). This framework looks to redefine our understanding of economic behaviours to encourage new, less harmful values and practices. Community gardens are one proposed method of promoting DCE; however, many inner-city neighbourhoods like Toronto’s Trinity-Bellwoods have limited space for community gardens, leading to a prevalence of front yard food cultivation. Through eight interviews with seven households, this paper investigates how effective these gardens are at promoting DCE. The paper shows that these gardens exhibit both DCE and neoliberal principles and behaviours and concludes that these cultivated gardens are an effective way of developing DCE at very local scales but are unlikely to undermine neoliberalism and promote an alternative economy at the broader social scale.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.011 | 0.011 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".