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Record W3043777714 · doi:10.15173/mumj.v16i1.2018

An interactive after-school nutrition and culinary education program for primary school students: The evaluation and efficacy of changing food-related knowledge, attitudes and behaviour

2019· article· en· W3043777714 on OpenAlexafffundabout
Olivia Lovrics, Hugues Plourde, Mary Hendrickson, Beccah Frasier

Bibliographic record

VenueMcMaster University Medical Journal · 2019
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsMcGill UniversityMcMaster University
FundersMcGill University
KeywordsMcNemar's testBonferroni correctionTest (biology)Nutrition EducationMedicinePsychologyMedical educationGerontology

Abstract

fetched live from OpenAlex

Objective: To evaluate the efficacy of a 10-week afterschool nutrition and culinary education program in changing the culinary and nutritional behaviour, attitudes and knowledge of its 9-11-year-old participants, as assessed by parents and children. 
 Methods: Retrospective matched-pairs analysis of secondary pre-post survey data collected by Boîte à Lunch (BàL). Children (n=165-197; grades 4 and 5) and parents (n=53-57) who signed-up for the BàL workshops. The program was comprised of ten-week (2 hours/week) bilingual (French and English) themed sessions led by trained educators with focus on culinary skill development, nutrition education and hands-on cooking. Secondary objectives include: team-work, kitchen hygiene, compost, understanding of food systems. Workshops were held in community centres and schools in Montreal, Canada. Changes were analyzed using the expanded exact McNemar-Bowker test with a Bonferroni-adjusted significance level of 0.001631.
 Results: Culinary skill and knowledge improved based on all 23 measures (all p<0.001631). Of the six measures assessed for change in attitude, three were significantly improved. Of the two items used to asses a change of behaviour, one was significantly improved. 2 stand-alone post-workshop questions suggest a positive trend for improvements in each.
 Conclusion: Knowledge and culinary skill of youth can be improved through nutrition education and hands-on cooking. Culinary and nutritional attitudes and behaviours may be improved; further research is needed.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.160
Threshold uncertainty score0.393

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.014
GPT teacher head0.332
Teacher spread0.319 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2019
Admission routes3
Has abstractyes

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