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Record W7071874734

Understanding food consumption behaviors; Prospects for shifting towards sustainable diets

2023· dissertation· en· W7071874734 on OpenAlexaff

Bibliographic record

VenueUWSpace (University of Waterloo) · 2023
Typedissertation
Languageen
FieldComputer Science
TopicCognitive Science and Mapping
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsFood choicePopulationConsumption (sociology)SustainabilityAffect (linguistics)Food systemsSustainable agricultureResource (disambiguation)Exploratory researchFood industryAppeal
DOInot available

Abstract

fetched live from OpenAlex

Every day, every one of the 8 billion people on the earth must decide about what to eat. By 2050, the world's population will have grown by at least 2 billion people, raising the question of whether we will be able to continue eating the same way. Moreover, Energy and resource use, meat consumption, and food transport have greatly threatened the existing food system. To preserve a healthy and sustainable diet for everybody, a potential solution for this challenge can be shifting dietary choices to mitigate the general need for food supply and related resources. However, it is a challenge to achieve realistic dietary adjustments because of the complicated nature of the variables that influence food choices. While making purchasing and eating decisions, people might be influenced by personal factors such as health, price and, sensory appeal or by environmental factors such as food choice influencers, food culture and, sociability. Demographic status and previous diet changes also play important roles in shaping one’s food behaviors. This thesis creates a model based on the Social Cognitive Theory to categorize these variables, and then conducts an exploratory analysis of the model using an online survey. The goal of this study is to understand the primary variables that influence Canadians' food choices, as well as how these factors differ depending on socio-demographic characteristics including gender, age, and education levels as well as how previous diet changes can affect the significance of factors.
\nThe preliminary model identifies eight major personal determinants and three major environmental determinants that influence Canadians' food choices. Having these factors identified helps break down the decision-making process one goes through when making food choices. To conduct an exploratory analysis of this model, a quantitative approach was used, and an online survey was sent to 3623 Canadians across the country. The result of this study revealed that Price and Sociability are the dominant constructs for Canadians in their food choices. These two constructs remain almost consistently important over the three socio-demographic characteristics examined as well. Socio-demographics reported significantly different attitudes on five out of eleven constructs.
\nUnderstanding consumer attitudes and behaviors around dietary patterns are critical in identifying significant leverage points for positively affecting future food requirements and targeting different segments of consumers for diet shifts that are achievable. The results of this study highlight the key connections between each factor and consumer groups for policymakers and marketers to act accordingly. Taking a step further, we can apply the results of this study to other locations around the world and guide public food purchasing decisions to be more sustainable.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.364
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.070
GPT teacher head0.257
Teacher spread0.188 · 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 designQualitative
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
Published2023
Admission routes1
Has abstractyes

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