Extreme Local Food: Two Case Studies in Assisted Urban Small Plot Intensive Agriculture
Bibliographic record
Abstract
As worries over the environmental impact of the industrial food system grow the idea of locally produced food is becoming increasingly popular. This includes a growing interest in the “ultimate zero carbon food” produced through urban growing. However, there are several barriers to an expansion of urban agriculture in North America; these include poor urban soils, a lack of knowledge, zoning restrictions, and personal time constraints that prohibit the investment needed to tend a small-plot intensive garden. This paper discusses two case studies (one in Portland, Oregon and the other in Vancouver, British Columbia) of assisted urban small-plot intensive farming. These initiatives involve entrepreneurs installing and tending small plots on participants’ land. The crops produced are either sold at local farmers’ markets or shared directly with the land owners. These efforts provide benefit in their own right but could also help speed the diffusion of urban agriculture; as examples of early “niche adaptation” both projects have strong educational components and are engaging a diverse demographic. In addition this approach with one urban farmer tending multiple plots could help address concerns over small plot carbon footprints that have been raised in the literature. A mesure qu’augmentent les preoccupations a propos des consequences environnementales du systeme alimentaire industriel, l’idee de la production locale d’aliments devient de plus en plus populaire. Cela porte egalement sur un interet accru envers une « production alimentaire a emission de carbone nulle » grâce a la culture urbaine. Cependant, il existe plusieurs obstacles a l’expansion de l’agriculture urbaine en Amerique du Nord, notamment la pauvrete des sols urbains, un manque de connaissances, des restrictions de zonage, et des contraintes de temps personnelles qui empechent les investissements necessaires pour s’occuper d’un petit potager intensif. L’auteure de cet article analyse deux etudes de cas (l’une a Portland, Oregon et l’autre a Vancouver, Colombie-Britannique) de culture intensive urbaine assistee sur petite parcelle. Dans ces initiatives, des entrepreneurs installent de petites parcelles sur les terres des participants et s’en occupent. Les recoltes sont soit vendues dans les marches locaux ou partagees directement avec les proprietaires des terres. Ces initiatives sont benefiques en tant que telles, mais elles pourraient egalement contribuer a accelerer la diffusion de l’agriculture urbaine. Comme exemples de premieres « adaptations a un creneau », les deux projets comptent d’importants elements educatifs et font appel a une diversite demographique. De plus, cette approche ou un fermier urbain s’occupe de plusieurs parcelles pourrait contribuer a rassurer quant aux preoccupations qui ont ete soulevees dans la documentation relativement au bilan carbone genere par les petites parcelles.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".