An Inventory and Analysis of Sustainable Food System Projects Implemented at Canadian Universities
Bibliographic record
Abstract
The purpose of this project is to conduct an analysis of sustainable food system (SFS) projects implemented at Canadian universities. An inventory of SFS projects on Canadian university campuses was developed through a detailed content analysis of university websites. Gaps in the existing programs were explored through interviews with representatives from 40 of the 201 identified SFS projects. The interviews addressed project operations, definitions, motivations, approvals processes, challenges, lessons learned, project future, links to other projects, suggestions to other projects, and additional comments. These interviews found that even across different SFS project categories, there are strong common lessons and suggestions that can be applied to other existing or new projects, such as channeling passion into starting projects despite the obstacles faced, and building support networks. These results will help other SFS projects in their quest to address the environmental, social, and economic challenges faced by the parts of the food system: production, processing, access, distribution, consumption, and waste management.
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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 | 0.006 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.021 | 0.037 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".