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Record W2507918450 · doi:10.55016/ojs/ajer.v62i1.56182

The Role and Status of Food and Nutrition Literacy in Canadian School Curricula

2016· article· en· W2507918450 on OpenAlexaffvenueabout
Heather Anderson, Thomas Falkenberg

Bibliographic record

VenueAlberta Journal of Educational Research · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicLiteracy, Media, and Education
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsCurriculumPsychologyLiteracyPedagogyAdult literacyMedical educationMathematics educationSociologyMedicine

Abstract

fetched live from OpenAlex

The obesity epidemic in North America has given greater attention to food and nutrition literacy in Canadian schools. However, the review of relevant literature on food and nutrition literacy reveals quite a range of understandings of what such literacy means. This raises the question of what understanding of food and nutrition literacy is actually represented in Canadian curriculum documents, considering that it is the curriculum that primarily drives teaching and learning in schools? Using a document analysis approach, the study reported upon in this article enquires into this very question. While the study finds a range of conceptualizations represented across provinces, territories and subject areas, it identifies the preferred framing of food and nutrition literacy as being related to food consumption and health at the individual level.

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)0.005
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical
Teacher disagreement score0.902
Threshold uncertainty score0.712

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.008
Science and technology studies0.0100.006
Scholarly communication0.0070.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.031
GPT teacher head0.337
Teacher spread0.306 · 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 designNot applicable
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

Citations22
Published2016
Admission routes3
Has abstractyes

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