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Record W4361280488 · doi:10.1111/1750-3841.16546

Perceptions of plant‐based fish among Atlantic Canadians

2023· article· en· W4361280488 on OpenAlexafffund
Mackenzie Gorman, Rachael Moss, Cassie Fisher, Sophie Knowles, Christopher Ritchie, Kaelyn Schindell, Matthew B. McSweeney

Bibliographic record

VenueJournal of Food Science · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicAgriculture Sustainability and Environmental Impact
Canadian institutionsAcadia University
FundersResearch Nova ScotiaCanada Foundation for Innovation
KeywordsPerceptionFish <Actinopterygii>Product (mathematics)MarketingFishingBusinessPsychologyFisheryMathematicsBiology

Abstract

fetched live from OpenAlex

There is an increasing demand for plant-based alternatives by individuals living in the Western world. One of the newer plant-based alternatives is plant-based fish and seafood (PBFs). This study aimed to investigate individuals' opinions and attitudes toward PBFs, as well as evaluate the effect of involvement in the fishing industry on the participants' attitudes. Participants (n = 183) were asked to answer questions about their perceptions of PBFs. Participants believed that PBFs were environment-friendly and were interested in trying PBFs but were concerned about the taste and texture of PBFs. Although participants were likely to try PBFs, they were less likely to add them to their regular diet. After reading messages about the benefits of PBFs in this study, participants' willingness to try PBFs and add PBFs into their regular diet increased. In addition, those who worked in the fishing industry or had high food neophobic scores did not believe that PBFs would taste like conventional fish and seafood products. Future studies should investigate the attitudes of individuals living in different regions and investigate whether exposure to PBFs affects consumer perceptions of the food product. PRACTICAL APPLICATION: Consumer demand for new plant-based products is increasing, but before new products can be released, participants' attitudes and perceptions need to be evaluated. Plant-based alternatives to fish and seafood are a new food product, and therefore, participants' attitudes toward them need to be investigated. It was found that the individuals were more willing to try plant-based fish and seafood. In addition, they were more likely to incorporate them into their diet after reading about the nutritional benefits and sustainability of PBFs.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.107
Threshold uncertainty score0.498

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
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 head0.008
GPT teacher head0.217
Teacher spread0.209 · 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 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

Citations9
Published2023
Admission routes2
Has abstractyes

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