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Record W4400149594 · doi:10.1016/j.cdnut.2024.102704

Knowledge, Attitude and Consumption Pattern of Locally Made Beverages Among Undergraduate Students at the Federal University of Technology Owerri (FUTO), Owerri Nigeria

2024· article· en· W4400149594 on OpenAlexaff
Gideon Onyekachi Iheme, Chiamaka J Ezenwa, Munachimso C Ihegbu, Jane C Nwakanma, Chinemerem Henry Ugo, Afoma Omeili

Bibliographic record

VenueCurrent Developments in Nutrition · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicCulinary Culture and Tourism
Canadian institutionsUniversity of Waterloo
FundersNational Institutes of Health
KeywordsConsumption (sociology)Southeastern NigeriaGeographySocioeconomicsMedical educationSociologyMedicineSocial science

Abstract

fetched live from OpenAlex

Objectives: Locally made beverages hold cultural significance and are increasingly becoming a healthier option over ultra-processed beverages among individuals of all ages. Consumption of highly processed sugar sweetened beverages has been associated with increased risk factors for nutrition related non-communicable diseases. The potentials for their numerous health benefits are well known however, knowledge and consumption pattern among undergraduate students remains unclear. This study was designed to assess the knowledge, attitude and consumption pattern of locally made beverages among undergraduate students at the Federal University of Technology Owerri (FUTO), Owerri Nigeria.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.124
Threshold uncertainty score0.219

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 head0.019
GPT teacher head0.263
Teacher spread0.245 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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