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Record W2189938497 · doi:10.1016/j.jneb.2015.09.003

Snacks With Nutrition Labels: Tastiness Perception, Healthiness Perception, and Willingness to Pay by Norwegian Adolescents

2015· article· en· W2189938497 on OpenAlexvenueno aff
Qing Wang, Marije Oostindjer, Gro V. Amdam, Bjørg Egelandsdal

Bibliographic record

VenueJournal of Nutrition Education and Behavior · 2015
Typearticle
Languageen
FieldMedicine
TopicConsumer Attitudes and Food Labeling
Canadian institutionsnot available
FundersNorges Miljø- og Biovitenskapelige Universitet
KeywordsNorwegianPerceptionWillingness to payPsychologyEconomicsMicroeconomics

Abstract

fetched live from OpenAlex

OBJECTIVE: Consumers tend to have the perception that healthy equals less tasty. This study aimed to identify whether information provided by the Keyhole symbol, a widely used front-of-package symbol in Nordic countries to indicate nutritional content, and percent daily values (%DVs) affect Norwegian adolescents' perception of the healthiness of snacks and their intention to buy them. DESIGN: Two tasks were used to evaluate adolescents' perception of snacks with the Keyhole symbol: with %DVs or with no nutrition label. A third task was used to test their abilities to use %DVs (pairwise selections). A survey obtained personal attributes. PARTICIPANTS: A total of 566 Norwegian adolescents. MAIN OUTCOME MEASURES: Taste perception, health perception, and ability to use %DVs. ANALYSIS: Linear mixed models and logistic models that tested effects of labels and personal attributes on main outcome measures. RESULTS: The Keyhole symbol increased health perception without influencing taste perception of snacks. Norwegian adolescents had limited abilities to use information from the %DVs correctly to identify healthier foods. CONCLUSIONS AND IMPLICATIONS: Norwegian adolescents had a positive perception of the Keyhole symbols. Keyhole symbols as a simple, heuristic front-of-package label have potential as an information strategy that may influence self-efficacy in promoting healthy snack choices among adolescents.

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 score0.233
Threshold uncertainty score0.470

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 head0.021
GPT teacher head0.320
Teacher spread0.299 · 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

Citations40
Published2015
Admission routes1
Has abstractyes

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