Planning for a local food system: Assessing the potential for small-scale agriculture in Winnipeg, Manitoba's peri-urban areas
Bibliographic record
Abstract
Farm consolidation is a continuing trend across Canada and within Manitoba. At the same time, there is a growing movement toward supporting local food production and consumption in Manitoba and across Canada. This major degree practicum project uses document analysis, mapping analysis, and semi-structured interviews to examine how the City of Winnipeg could better support small-scale food production, as well as to identify areas of Winnipeg’s peri-urban space that could benefit from creation of a regulatory framework establishing small-scale food production. This research found that strong leadership is needed to ensure preservation of high quality agricultural lands near urban areas, policies that establish and permit a greater variety of agriculture forms and scales help to better support agriculture in cities, and there is significant opportunity for agricultural development within Winnipeg’s peri-urban space. Five recommendations for action are provided including provincially mandating farmland preservation, incorporating small-scale food production and other related uses into the City of Winnipeg’s zoning by-law, and creating an advocacy body for local producers.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".