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Ease of reading of mandatory information on Canadian food product labels

2009· article· en· W1970674646 on OpenAlexaffabout
Mary Alton Mackey, Marilyn Metz

Bibliographic record

VenueInternational Journal of Consumer Studies · 2009
Typearticle
Languageen
FieldMedicine
TopicConsumer Attitudes and Food Labeling
Canadian institutionsMcGill University
Fundersnot available
KeywordsReading (process)Product (mathematics)Container (type theory)Focus (optics)UsabilityPoint (geometry)Computer scienceControl (management)AdvertisingSpace (punctuation)BusinessArtificial intelligenceLinguisticsMathematicsHuman–computer interactionEngineering

Abstract

fetched live from OpenAlex

Abstract Food product labels present individual product information, safety, nutrition, electronic inventory, container and environmental information, in various formats, languages and images. Some information is mandatory; much is promotional. The food label is an essential tool for regulators of safe food handling, nutrition policy and fair competition. Mandatory information on food labels in Canada is required to be presented in both English and French, readily discernable, prominently displayed and legible. This study examines the ease of finding and reading of mandatory label components on selected Canadian food products. A validated typographical scoring system assessed the lists of ingredients on a purposive sample of 100 food labels representing foods in all groups in Canada's Food Guide. Seven percent of the ingredient lists were easy to read; 26% were difficult to read and 67% were very difficult to read. Well‐educated resourceful readers in consumer focus groups examined food labels for key elements that influence ease of finding and reading information. Focus groups and typographical scoring identified: colour contrast, case, print style, print size, space between the lines, reverse print, organization, justification, type of surface, hyphenation and print reproduction as factors that affect ease of reading. Print that curves around a container, lack of paragraphing or point form organization make reading difficult; text blocks at right angles to each other make comparisons difficult; separation of the nutrition facts table from the list of ingredients makes decision making tedious. Inadequate spacing between lines of print creates problems for readers of English and exacerbates problems for readers of French. Words placed over illustrations, busy backgrounds or watermarks increase reading difficulty. Hazard statements, instructions and storage information imbedded in other information without added space or appropriate heading is difficult to find and read. Canadian consumers echo consumers in 28 European countries who find label information difficult to find and to read and want clear guidelines/regulations on the placement and the typography of mandatory food label components

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)0.001
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: Empirical
Teacher disagreement score0.701
Threshold uncertainty score0.275

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.033
GPT teacher head0.331
Teacher spread0.298 · 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

Citations63
Published2009
Admission routes2
Has abstractyes

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