MétaCan
Menu
Back to cohort
Record W7105526098 · doi:10.55671/2767-1380.1052

Ontological Awareness in Food Systems Education

2022· article· en· W7105526098 on OpenAlexaff

Bibliographic record

VenueThe International Journal of Ecopsychology (IJE) · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsFood systemsModernityOntologyFood studiesSustainable agricultureLate modernityFood securitySystems thinking

Abstract

fetched live from OpenAlex

We review efforts in Sustainable Food Systems Education and Critical Food Systems Education literature to employ education in ways that seek social and environmental transformation of food systems. Here, we argue that forms of food systems education that are disconnected from awareness of their ontological roots are destined to reproduce the same food systems with the same consequences for life on Earth. This theoretical paper invites discussions that unpack “habits of being” underpinning modern/colonial conceptualizations of food system issues, transformation efforts, and pedagogies. We note the risk of reinscribing, within food systems education, specific onto-epistemological norms and values that are the root of multiple crises facing food systems (separability, global capital, nation-states, humanism). Using the metaphor of the “house that modernity built,” we invite scholars, teachers, learners, and other practitioners to bring explicit attention to how the ontology of Western modernity arises in discourses on food systems and is reproduced through food systems education. We begin by describing this ontological position and its dominance, situating how contemporary transformations in food systems education neglect ontological foundations, and enumerating a set of harms arising from this disavowal. As a beginning, we suggest that fields related to food systems are a compelling place to interrupt a habit of being that denies and disavows even the presence of ontological positions. Food systems educators within postsecondary institutions are entreated to develop their analyses and pedagogical approaches toward a more just and sustainable future that denaturalizes harmful and falsely universalized.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.005
Science and technology studies0.0030.015
Scholarly communication0.0070.011
Open science0.0010.005
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.030
GPT teacher head0.273
Teacher spread0.243 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueThe International Journal of Ecopsychology (IJE)Same topicAgriculture, Land Use, Rural DevelopmentFrench-language works237,207