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Record W4224085985 · doi:10.3389/fsufs.2022.750776

Ontological Awareness in Food Systems Education

2022· article· en· W4224085985 on OpenAlexafffund
Colin Dring, Teresa Čajková, Wilson Mendes, Sharon Stein, Will Valley, Daniel J. Clegg

Bibliographic record

VenueFrontiers in Sustainable Food Systems · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicTourism, Volunteerism, and Development
Canadian institutionsUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of CanadaNational Institute of Food and AgricultureU.S. Department of Agriculture
KeywordsFood systemsModernitySociologyEpistemologyOntologyEnvironmental ethicsSocial scienceFood securityGeographyPhilosophyAgriculture

Abstract

fetched live from OpenAlex

We observe 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 ontological foundations.

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.438
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.018
GPT teacher head0.270
Teacher spread0.252 · 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 teacher head, not a consensus.

Study designQualitative
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

Citations5
Published2022
Admission routes2
Has abstractyes

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