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Record W2612302447 · doi:10.56105/cjsae.v25i2.1410

Food Literacy and Adult Education: Learning to Read the World by Eating

2013· article· en· W2612302447 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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian Journal for the Study of Adult Education · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCritical and Liberation Pedagogy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBlameLiteracyCritical literacyPoliticsContext (archaeology)Political scienceSociologyPublic relationsPsychologyPedagogySocial psychologyGeography

Abstract

fetched live from OpenAlex

While literacy is central to the field of adult education, food literacy is just emerging as a crucial concept. Backed by the recognition that we all eat, food literacy is gaining traction in an era of rising crises associated with food, from increasing world hunger to the so-called obesity epidemic. But current understandings of food literacy are inadequate for dealing with the crises we must learn our way out of – most definitions are apolitical, blame the victim and do not consider the larger context, thus constraining the ‘politics of the possible’. And yet, as a knowledge-based concept, food literacy has the potential to play a powerful role in adult learning and social change. By calling on Habermas’ three knowledge domains and keeping in mind Freire’s insight that all education is political, a new understanding of food literacy emerges that is capable of analyzing current foodscapes and modelling sustainable alternatives.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.425
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.017
GPT teacher head0.349
Teacher spread0.332 · 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