Consumer, Producer and State Relations within the Multiple Scales of the Eastern Ontario Egg Industry: Exposing Scalar Relations and Neoliberal Tensions
Bibliographic record
Abstract
This research evaluates relationships between consumers, producers and the state within eastern Ontario's multi-scalar egg industry.Comparative case studies of three producers, Burnbrae Farms, Reinink Family Farm and Covenant Farm, reveal distinctly scalar production, marketing, and communication practices within the industry.The findings challenge the dichotomy of large versus small scales, revealing mutually beneficial multi-scalar partnerships.The research also evaluates the power of consumers and the state in shaping the industry.Surveys of egg consumers reveal demand for alternative production.However, consumers face barriers to agency, including lack of knowledge and a tendency to outsource their ethics.Policy analysis reveals supply management, Canada's alternative regulatory system, protects many consumer and producer interests by challenging conventional globalized agri-food production and protecting (to an extent) small-scale, alternative producers.However, international neoliberalization processes threaten Canada's supply management systems.Therefore, the industry must evolve to enhance consumer and producer support for the system.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.015 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| 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".