Food Access and Farmer Livelihoods: Policy Reflections From Stakeholders in Eastern Ontario
Bibliographic record
Abstract
This study addresses how critical food organizations (CFOs) working to increase access to local foods for people living on low incomes and those working to improve economic viability for food producers can pursue mutually beneficial initiatives and how the state may support these initiatives.Drawing from focus groups and interviews with stakeholders throughout Eastern Ontario, first, I argue that organizations face substantive barriers in achieving mutually beneficial initiatives in the absence of direct state involvement.Second, I argue that the state ought to foster these initiatives by providing support for CFOs so long as CFOs remain their independents.While this approach may perpetuate neoliberalization, a process that has contributed to the marginalization of these populations, I conclude that this engagement with the state need not pioneer a postneoliberal policy regime.Instead, by addressing the marginalizing effects of neoliberalization, it stimulates conversation on the elements of neoliberalization that might transcend into a post-neoliberal policy regime.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.025 | 0.008 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| 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".