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Record W4401679079 · doi:10.1016/j.foohum.2024.100382

The use of sugar kelp (Saccharina latissima) as a seasoning for popcorn: An investigation of consumer acceptance, sensory perception and emotional response

2024· article· en· W4401679079 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

VenueFood and Humanity · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBotanical Research and Applications
Canadian institutionsAcadia University
Fundersnot available
KeywordsKelpSeasoningPerceptionSugarSensory systemPsychologyFood scienceBiologyBotanyEcologyCognitive psychology

Abstract

fetched live from OpenAlex

Increasing consumer demand for health-promoting sustainable food products has led to interest in seaweed. Sugar kelp, Saccharina latissimi, is a rich source of vitamins, minerals, fibre, antioxidants, and protein, but it is underutilized as a food ingredient. Seaweed has been identified as a possible seasoning and could be used in snack foods. As such, the purpose of this study was to evaluate how consumers would use sugar kelp as a seasoning on popcorn. The consumers (n = 95) evaluated popcorn and then were asked to add sugar kelp seasoning and to reevaluate the popcorn. The amount of popcorn consumed, and the amount of seasoning used were recorded. Furthermore, the consumers evaluated the popcorn with and without sugar kelp using hedonic scales, free comment, generalized Labelled Magnitude Scales, as well as emotional response (using the EsSense25 profile). The consumers, on average, used 2.5 g of seasoning and consumed the same amount of both samples (with and without sugar kelp). The addition of sugar kelp decreased the liking scores, increased the intensity of umami and bitterness in the samples, and led to fishy, seaweed, and pepper flavours being perceived. It also led to the reduction of positive emotions and an increased selection of negative emotions. The consumers identified that they are interested in foods containing seaweed, but based on the results of the study, the addition of sugar kelp seasoning needs to be further explored.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.969
Threshold uncertainty score0.224

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.132
GPT teacher head0.313
Teacher spread0.181 · 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