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Record W4410878971 · doi:10.1016/j.jneb.2025.04.007

Family Perspectives on Packing a Low-Waste and Nutritious School Lunchbox

2025· article· en· W4410878971 on OpenAlexvenueno aff
Neha Lalchandani, Caroline Miller, Clare Hume, Shona Crabb

Bibliographic record

VenueJournal of Nutrition Education and Behavior · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Waste Reduction and Sustainability
Canadian institutionsnot available
FundersNational Health and Medical Research CouncilUniversity of Adelaide
KeywordsPsychologyEnvironmental healthBusinessMedicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To explore family perspectives on food, packaging, and waste in lunchboxes, and the everyday practices of lunchbox packing and consumption. DESIGN: Exploratory qualitative study using semistructured interviews guided by a critical realist epistemology. SETTING: Online interviews with South Australian families. PARTICIPANTS: Self-selected sample of 16 parents (94% mothers) and their children aged 8-12 years in primary school grades third through sixth (60% female) from public (75%) and private schools (25%) across medium (38%) and high (62%) socioeconomic backgrounds. PHENOMENON OF INTEREST AND VARIABLES: Factors influencing preparation of a nutritious and low-waste school lunchbox. ANALYSIS: Data were analyzed inductively using a reflexive thematic approach to identify major themes. RESULTS: Three major themes were generated: (1) extrinsic factors and school environment structures, (2) intrinsic factors and a Hierarchy of Motivations, and (3) responsibility for change. External factors influenced familial lunchbox packing practices, whereas personal priorities shaped food and packaging choices. Families emphasized shared responsibility for improving nutrition and reducing packaging between parents, schools, and broader systems. CONCLUSIONS AND IMPLICATIONS: This study provides updated insights into family lunchbox practices. Preexisting challenges in lunchbox practices deter prioritization of environmental sustainability. School-level initiatives should address barriers and leverage enablers to support families. Further research is needed to integrate nutrition and sustainability agendas and clarify responsibility for driving change.

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.768
Threshold uncertainty score0.172

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 science0.0000.000
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 head0.010
GPT teacher head0.268
Teacher spread0.258 · 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 designOther design
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
Published2025
Admission routes1
Has abstractyes

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