Farmers' markets in Southwestern Ontario: Community-level understandings of local food, farming and direct-purchasing
Bibliographic record
Abstract
This research investigates the role of local food and direct-food marketing in linking farm and community interests. The focus is on farmers' markets as venues for direct-food marketing and an opportunity for linking farm and community interests. The research involves interviews with market managers, food vendors and food purchasers and explores community-level understandings of local food, farming and direct-purchasing at a representative selection of five farmers' markets. The findings suggest that food origin, locality and socio-economic interactions play an important role in linking farm and community interests, while methods of food production at the farm-level remain largely in the background. The research provides insights with regard to customer purchasing habits, expectations and beliefs at the farmers' market. Farmers' markets in southwestern Ontario play an important role as a means of employment for farmers, as well as supplying word-of-mouth advertising for other venues. Proportional grocery expenditures at farmers' markets tend to be much lower than that of supermarkets, although direct contact between farm and non-farm groups may foster social capital that is embedded in economic exchange and possibly into the wider community realm.
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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 | 0.000 | 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 | 0.008 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".