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Record W4363677660 · doi:10.3390/su15086431

Canadian Consumers’ Perceptions of Sustainability of Food Innovations

2023· article· en· W4363677660 on OpenAlexaffabout
Rim Lassoued, Janet Music, Sylvain Charlebois, Stuart J. Smyth

Bibliographic record

VenueSustainability · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Education and Sustainability
Canadian institutionsDalhousie UniversityUniversity of Saskatchewan
Fundersnot available
KeywordsSustainabilityMarketingPerceptionExploratory researchBusinessTest (biology)Consumption (sociology)Food choicePsychologySociologyMedicine

Abstract

fetched live from OpenAlex

Educated consumer food choices not only enhance personal health but can also contribute to environmental, economic, and social well-being, as well as food sustainability. This exploratory study examines Canadian consumers’ perceptions of sustainable and innovative food, along with their sources of information. It uses nationwide survey data and statistical tests (chi-square and Kruskal–Wallis tests) to test differences between different demographic groups. Results show that consumers refer mostly to the ecological aspect of food sustainability in their perceptions and food-buying behavior. Web-based information was a widely consulted source of information about food-related sustainability and innovation, although it ranked low among consumers in terms of trust level. The most trusted sources of information about food sustainability and innovation were mainly institutional—medical professionals and university scientists. Survey results also demonstrate that perceptions of sustainability and trust in sources of information varied in different socio-demographic segments. The current insights can be used to guide policymakers in making informed guidelines and recommendations to inform Canadian consumers about sustainable food-consumption practices.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.074
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.008
GPT teacher head0.265
Teacher spread0.257 · 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

Citations19
Published2023
Admission routes2
Has abstractyes

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