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Record W7056587234

Examining the Interplay of Food Literacy, Food Waste, and Diet Quality in Canadian Families

2022· dissertation· en· W7056587234 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.

fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Atrium (University of Guelph) · 2022
Typedissertation
Languageen
FieldEngineering
TopicPulsed Power Technology Applications
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaInstituto DanoneDanone
KeywordsSpouseMealQuality (philosophy)Food preparationFood wasteFood securityMeal preparationFood groupFood processing
DOInot available

Abstract

fetched live from OpenAlex

Optimal nutrition in childhood is necessary to promote healthy growth and development. Within the household, parents play a key role in influencing their children’s eating. Research also suggests that food literacy is key in determining household food waste. However, little is known about parental food literacy’s relation to children’s diet quality and household food waste. This thesis includes four studies that aim to address these research gaps.
\n\tStudy 1 explores challenges and strategies in meeting the 2019 Canada’s Food Guide recommendation to “cook more often” among mothers (n = 29) and fathers (n = 11) of children aged 2-12 years old. Challenges reported by parents included time constraints, lack of child and spousal support, and lack of food skills. Strategies identified by parents included planning and preparing ahead of time, using devices and appliances to make cooking more convenient, and receiving help from spouse or child.
\n\tStudy 2 uses Structural Equation Modelling to build a model representing food skills of mothers (n = 202) and fathers (n = 116) participating in the Guelph Family Health Study. Results showed that fathers’ ability to plan and adjust meals was associated with higher healthfulness of dinner.
\n\tStudy 3 investigates the impact of the COVID-19 pandemic on food preparation behaviours and food waste among families with children aged 9-12 years (n = 19). While total food waste remained consistent, unavoidable food waste increased but avoidable other food waste decreased. Families also reported greater frequency of serving leftovers, meal planning, and managing inventory more efficiently. 
\n\tStudy 4 investigates the feasibility, acceptability, and preliminary impact of a food literacy intervention targeting household food waste in families with children aged 9-12 (n = 19). Most parents and children reported being satisfied with the intervention and its specific components, and preliminary impact results suggest increases in confidence of mothers to reduce food waste and greater knowledge of best before dates in children.
\n\tFindings will inform future family-based food literacy interventions as well as help inform policies pertaining to food literacy and household food waste, such as increasing school food literacy education and improving work-life balance.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.627
Threshold uncertainty score0.961

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.011
GPT teacher head0.232
Teacher spread0.221 · 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