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Record W1578592054

Developing Long-term Healthy Eating Behaviours in Canadian Kindergarten Curricula

2014· article· en· W1578592054 on OpenAlexaffabout
Meghan Lynch

Bibliographic record

VenueRevue phénEPS / PHEnex Journal · 2014
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCurriculumHealthy eatingPsychologyPedagogyLifelong learningCurriculum developmentNutrition EducationDevelopmental psychologyMedical educationMedicineGerontologyPhysical activity
DOInot available

Abstract

fetched live from OpenAlex

This document analysis examines kindergarten curricula regarding healthy eating and/or nutrition from the 13 Canadian provincial and territorial governments, covering an area where knowledge is currently lacking. Curricula are analyzed using a framework composed of five concepts drawn from the healthy eating behaviour development literature and kindergarten pedagogical literature. Results indicate that the curricula of many Canadian educational jurisdictions do not teach lifelong healthy eating behaviours to children in ways that align with the literature. Many nutrition curricula developed for kindergarten classes across Canada challenge teachers respecting the fostering of children’s lifelong healthy eating behaviours. Consequently, present findings fill in current gaps in knowledge about kindergarten nutrition curricula across Canada, providing a needed foundation for future research. This article concludes with a call for the development of kindergarten curricula to better match current research knowledge regarding children’s long-term healthy eating behaviour development.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.089
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.030
GPT teacher head0.310
Teacher spread0.279 · 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 designObservational
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

Citations3
Published2014
Admission routes2
Has abstractyes

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Same venueRevue phénEPS / PHEnex JournalSame topicObesity, Physical Activity, DietFrench-language works237,207