Pedagogies That Explore Food Practices: Resetting the Table for Improved Eco-Justice
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract As health threats appear with increasing regularity in our food systems and other food crises loom worldwide, we look to rural areas to provide local and nutritious foods. Educationally, we seek approaches to food studies that engage students and their communities and, ultimately, lead to positive action. Yet food studies receive only generic coverage and tangential attention within existing curricula. This article, reporting a pilot study located at Canada's geographic and cultural edge, focuses on local knowledge about past and present food practices. Objectives are to test pedagogies that bring all students greater opportunities for engagement and learning about their physical environment and food history, and that can be applied to rural and, with modifications, urban settings. Three critical, place-base pedagogical approaches — experiential, discovery and arts-based — to classroom teaching and learning are discussed, as well as implications for educational leadership, teacher training and curriculum development.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it