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Record W2070898005 · doi:10.1080/21551197.2014.927302

What Do Consumers Think of Pureed Food? Making the Most of the Indistinguishable Food

2014· article· en· W2070898005 on OpenAlex
Heather Keller, Lisa M. Duizer

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

VenueJournal of Nutrition in Gerontology and Geriatrics · 2014
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsUniversity of GuelphUniversity of Waterloo
Fundersnot available
KeywordsMedicineFood scienceEnvironmental health

Abstract

fetched live from OpenAlex

This qualitative study is based on in-depth interviews with 15 consumers (+4 family members) of pureed food. Transcripts were thematically analyzed to summarize and interpret these data. Although no consumer enjoyed eating pureed food, some were grateful to be able to be nourished orally. Food was described as being poor in terms of sensory appeal, and products were often indistinguishable from each other. Consistency in production, delivery, and approach to presentation was identified to be a challenge that affected the acceptance of products, and variety was often lacking. However, consumers saw the necessity of the texture and provided several suggestions that are practicable and feasible for improving their experience and "making the best of it." This is the first in-depth study on consumer perception of pureed food. It not only provides insights into their experience and the impacts on their quality of life but also provides information about ways providers can improve upon these products.

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 score0.253
Threshold uncertainty score0.103

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 studies0.0000.000
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 head0.024
GPT teacher head0.239
Teacher spread0.215 · 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