MétaCan
Menu
Back to cohort
Record W4414897463 · doi:10.5195/rt.2025.1228

Collaborative Course Design: A Contribution Toward a Radical Food Systems Pedagogy

2025· article· en· W4414897463 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Radical Teacher · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Practises and Engagement
Canadian institutionsOxford Frozen Foods (Canada)University of Toronto
Fundersnot available
KeywordsFood systemsCurriculumProcess (computing)Intervention (counseling)Graduate studentsSustainabilityFood studies

Abstract

fetched live from OpenAlex

The nascent (sub)field of critical food systems pedagogy is developing, in part, through a critique of conventional approaches to teaching and learning about food and agriculture. Within this fertile context, scholars and practitioners have been reckoning with what and how to teach for more just and sustainable worlds through a distinctly critical food systems pedagogy. We draw inspiration from this work, and build on it through experimentation with how we design what we teach. Our specific, modest intervention focuses on engaging students, in conversation, in the process of curriculum co-design. We explore this through a case study of co-designing The Edible Campus, a combined 4th year and graduate level course. We provide insight into the co-design process, outline how the co-design process shaped the course, and summarize challenges of the co-design process.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.926
Threshold uncertainty score0.611

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.061
GPT teacher head0.404
Teacher spread0.343 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it