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Record W2324179567 · doi:10.5864/d2013-025

Assessing the effectiveness of calorie labeling on restaurant menus

2013· article· en· W2324179567 on OpenAlex
Nikhil Kitchlu, Mastaneh Shahlaei, Marija Vukmirovic

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.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEnvironmental Health Review · 2013
Typearticle
Languageen
FieldMedicine
TopicConsumer Attitudes and Food Labeling
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsCalorieNutrition LabelingConsumption (sociology)AdvertisingPopulationFood labelingBusinessMarketingEnvironmental healthMedicineFood scienceBiology

Abstract

fetched live from OpenAlex

The purpose of this study was to determine if the presence of calorie labels on restaurant menus decreases caloric consumption among restaurant patrons. This was done using a literature search abstraction of relevant articles and appraisal of selected articles. Findings were inconclusive relating to a change in calorie consumption following the introduction of calorie labeled menus. Over one-third of study subjects desired nutritional labeling on restaurant menus and of those 44.2% specifically prefered calorie labeling. Additional research is needed to address factors that influence meal-related decision making and to address menu labeling in relation to the Canadian population. It was concluded that consumers desire calorie labeled menus and that overall findings related to the efficacy of the use of nutritional labels on restaurant menus are inconclusive.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.893
Threshold uncertainty score0.319

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 head0.038
GPT teacher head0.365
Teacher spread0.327 · 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