Developing Just and Sustainable Food Systems Through Food Social Enterprise: A Case Study of Guelph-Wellington’s Circular Food Economy and Food Social Enterprises
Bibliographic record
Abstract
This thesis sets out to explore how are food social enterprises in the Guelph-Wellington region are creating a circular food economy and alleviating food insecurity in the region. This research offers insights for Regional Development Agencies, Canadian Legislature, Mayors, Councils and Committees, Public Health agencies, non-profits, private businesses, entrepreneurs into the role that food social enterprise can play within their communities. The research design incorporated semi-structured interviews with pertinent food social enterprises found through a multistep sample strategy. Food social enterprises in Guelph-Wellington have displayed how they can be a place to make investments for job growth and innovation; how they can bring key stakeholders together to build collaborations and explore solutions to on-ground issues; how they can align and advocate for change with regional resilience and prosperity goals; and lastly, how they can become pathfinders to support their communities and achieve their social and environmental goals with interdisciplinary teams.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.026 | 0.010 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".