Toronto Farmers' Markets: Towards Cultural Sustainability?
Bibliographic record
Abstract
This paper accomplishes two interrelated objectives. The first is a qualitative assessment of the level of interest and accommodation of culturally appropriate foods at 14 farmers' markets (FMs) within the multicultural urban core of Toronto, Ontario. The second objective acquires insights from key public "food commentators" and from new agricultural initiatives in this region that help us develop recommendations relative to the outcomes of the first objective. Results from the first part of the study indicate that the level of provision of culturally appropriate foods at these FMs in Toronto is at an embryonic stage. The results of the second part of the study point to a range of initiatives oriented to support increased provision and accommodation of culturally appropriate foods along the FM chain, while also pointing to the existing constraints to these efforts. Broad recommendations include supporting emerging agricultural innovations and the diversity of partnership possibilities in this work; increasing awareness of such efforts for cultural sustainability objectives; and attending to FM vendor needs around this shift in demand. Policy efforts could focus on incentives and training for agricultural nonprofits and for partnership building, on supporting cultural groups hoping to increase their access to such foods grown in this region, and on existing farmers and those interested in farm access for these purposes. At the same time, advocacy for such shifts needs to recognize challenges in Canada to growing such new crops, the reality of farmer/vendor bottom lines, and broader global food system realities that constrain such efforts.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".