The uneven geographies of community food initiatives in southwestern Ontario
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Data collected in 14 southwestern Ontario counties and regional municipalities demonstrated that the development of community food initiatives is not happening uniformly across the region. Rather, some areas (notably Wellington and Norfolk counties and Waterloo Region) are home to a wide variety of projects that, in many cases, are woven together into networks and enjoy relatively broad-based support from local communities. In contrast, in other places (for example, Dufferin, Elgin, and Kent counties), efforts to foster the development of alternative food systems are fewer and farther between, more fledgling in nature, and appear subject to more constraints than their counterparts in neighbouring parts of the region. This paper will explore the uneven geography of community food projects in southwestern Ontario, and discuss how the presence of social capital structured around an alternative food system vision can help expand the realm of possibility for such initiatives.
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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 | 0.000 |
| 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 it