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Record W3106924983 · doi:10.1177/0022243720981975

Educational Campaigns for Product Labels: Evidence from On-Shelf Nutritional Labeling

2020· article· en· W3106924983 on OpenAlexafffundabout
Bryan Bollinger, Eli Liebman, David Hammond, Erin Hobin, Jocelyn Sacco

Bibliographic record

VenueJournal of Marketing Research · 2020
Typearticle
Languageen
FieldMedicine
TopicConsumer Attitudes and Food Labeling
Canadian institutionsCancer Care OntarioToronto Public HealthPublic Health OntarioUniversity of Waterloo
FundersCanadian Institutes of Health Research
KeywordsProduct (mathematics)BusinessNutrition facts labelAdvertisingFood labelingNutrition LabelingMarketingGrocery storeFood science

Abstract

fetched live from OpenAlex

Front-of-package and on-shelf nutrition labeling systems in supermarkets have been shown to lead to only modest increases in the purchase of more nutritious foods. Educational campaigns may increase the use of these types of product labels if (1) there is a lack of consumer awareness and/or understanding of the labels, and (2) the information provided leads consumers to prefer different products. The authors study a large-scale national campaign for the Guiding Stars nutrition labels conducted by a grocery retailer in Canada that implemented the labels. Using detailed household transaction data, the authors find only a small increase in the purchase of higher star–rated foods during the campaign, driven by produce purchases, and 60% of the effect disappears after the campaign’s conclusion. Exit surveys were conducted outside of stores before and after the campaign to explain the limited response. Awareness and understanding of the nutrition labeling system increased marginally after the campaign, but there was no increase in self-reported use.

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)0.009
metaresearch head score (Gemma)0.035
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.339
Threshold uncertainty score0.973

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.035
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.232
GPT teacher head0.440
Teacher spread0.208 · 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.

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

Citations35
Published2020
Admission routes3
Has abstractyes

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