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Record W4416399228 · doi:10.1016/j.rcradv.2025.200300

The cost of confusion: How label knowledge and risk attitude shape household food waste

2025· article· en· W4416399228 on OpenAlexaffabout
Nicole Goulart Natali, Sylvain Charlebois, Hamed Aghakhani, Armağan Özbilge, Janèle Vézeau

Bibliographic record

VenueResources Conservation & Recycling Advances · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicFood Waste Reduction and Sustainability
Canadian institutionsAgriculture and Agri-Food CanadaDalhousie University
Fundersnot available
KeywordsFood wasteSustainabilityFood safetyRisk perceptionConsumer behaviourFood productsConsumer confidence indexFood industryFood processing

Abstract

fetched live from OpenAlex

This research explores how consumer knowledge of date labels influences food waste behavior and associated financial loss, emphasizing the role of individual differences in risk taking and environmental values. Based on a survey of 954 participants from a Canadian population, the study finds that while most consumers understand the distinction between best-before and use-by labels, most consumers still rely heavily on date labels, often discarding edible food due to perceived safety concerns. Importantly, the relationship between label knowledge and waste behavior is shaped by food-related risk taking: This study supported that individuals with higher risk-taking tolerance successfully act on their knowledge of date labels to reduce waste, supporting the hypothesis that risk-taking moderates this effect. Meanwhile, environmental values directly predict lower food waste but do not significantly moderate the effect of knowledge, suggesting that pro-environmental consumers may already follow sustainable food management practices independent of label understanding. The model also confirms that household food waste predicts household financial loss, with an estimated average cost of CAD 246 per year attributable to misinterpreting date labels. These findings underscore the complexity of consumer behavior and the need for targeted interventions. Educational campaigns should be tailored to different risk profiles, and label redesigns should incorporate sensory cues to build confidence in food safety assessments.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.901
Threshold uncertainty score0.539

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 studies0.0010.000
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 head0.030
GPT teacher head0.255
Teacher spread0.225 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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