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Record W7127041872 · doi:10.1080/10253866.2025.2607368

Tasting the alternative: plant-based meat, consumer captivation and the capitalization of plants in food markets

2025· article· en· W7127041872 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueConsumption Markets & Culture · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicAgriculture Sustainability and Environmental Impact
Canadian institutionsUniversité TÉLUQ
Fundersnot available
KeywordsWine tastingModalitiesProduct (mathematics)PleasureCapitalizationCapital (architecture)Food marketingFood products

Abstract

fetched live from OpenAlex

How do new companies attempt to captivate customers in a food market they are substantially seeking to transform? Plant-based meat has been marketed as a revolutionary food product that will not only transform markets but also provide better health and reduced environmental harms. Building on conceptualizations of captivation, we analyze video ads from leading brands. Our results highlight four modalities of consumer captivation that we refer to as (a) Cali-ology, emphasizing a “West Coast” lifestyle filled by lively gatherings of people enjoying food together; (b) scientism, mobilizing technology and turning chemistry into magic; (c) celebritism, emphasizing health, athletes and a-list celebrities as supporters of plant-based meat; and (d) tasteology, defining sensory knowledge and pleasure as developed by social practices and what is inside foodstuffs. Inferring a transition from matters of concern, such as health and environment, to consumers’ sensory pleasure, these modalities together make up what we term plant capitalization.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.350

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 studies0.0000.001
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 head0.009
GPT teacher head0.226
Teacher spread0.217 · 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