On the Bleeding Edge of Farming the City: An Ethnographic Study of Small-scale Commercial Urban Farming in Vancouver
Bibliographic record
Abstract
In this study, we explore the emergence and early development of small-scale commercial urban farming in metropolitan Vancouver, British Columbia. Commercial urban farming represents a grassroots entrepreneurial activity, spearheaded by individuals and groups, who combine the practices of growing and direct marketing fresh food products, in urban spaces for urban consumers. Considered as part of the agricultural renaissance occurring in cities and an example of the incremental shift toward more place-based food systems, commercial urban farming transforms underutilized and unproductive land traditionally zoned for residential, commercial, or institutional use into intensive food-producing spaces.Those pioneering this activity reported many benefits, including high job satisfaction, increased health and wellness, and making positive contributions toward the environmental health of the planet. Despite these advantages, they also faced many challenges in moving this model forward, including a lack of land tenure, low financial return, and the challenge of earning a living solely from farming activities.We employed an ethnographic methodology to assess the practice, opportunities, challenges, and responses associated with this emergent model of urban food production and retailing. In capturing the lived experience of growers over a five-year period, we are also analyzing and understanding how and why the very first innovators trying to move this model forward in metropolitan Vancouver are negotiating and staking claim to new spaces in the city for intensive food production. We are also interested in why these early adopters were choosing to make their lives through pioneering small-scale commercial enterprises and systems, and creating and engaging in new forms of work connected with the local food economy.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.013 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".