Campus Food Provision as Radical Pedagogy? Following Students on the Path to Equitable Food Systems
Bibliographic record
Abstract
On campuses across North America, students are actively prefiguring alternatives to the fundamental inequities and unsustainability of the capital-intensive, industrialized food system. While rarely recognized as such, these Campus Food System Alternatives (CFSA) are intensely pedagogical spaces, and often—importantly—are student led and directed. We make the case that CFSA are sites for a “pedagogy of radical hope” that (a) centre student agency, (b) through informal and prefigurative learning. So far these spaces have received scant scholarly attention, though inasmuch as they constitute pathways toward more equitable and sustainable food systems, while informing liberatory pedagogical practice, we argue that it is high time for CFSA to be taken seriously.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.016 |
| Scholarly communication | 0.012 | 0.010 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".