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Interplay of food and tobacco product descriptors and health claims

2021· article· en· W3200769098 on OpenAlexaffabout
Timothy Dewhirst

Bibliographic record

VenueTobacco Control · 2021
Typearticle
Languageen
FieldMedicine
TopicConsumer Attitudes and Food Labeling
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsAdvertisingProduct (mathematics)BusinessConsumption (sociology)MarketingHealth claims on food labelsEnvironmental healthMedicineFood scienceMathematicsSociologySocial science

Abstract

fetched live from OpenAlex

The food and tobacco sectors commonly make use of the same product descriptors, including claims relating to health. In their Tobacco Control paper, Raskind and colleagues make a valuable contribution by highlighting Winston advertising that makes use of claims relating to ‘plant-based’ menthol cigarettes.1 The authors call further attention to Winston’s advertising as an example of health-related claims being made where familiar terminology in the food sector is also applied to cigarettes. Plant-based products are commonly positioned as alternatives from red meat or dairy consumption based on claims pertaining to health and environmental sustainability (figure 1A).2–4 Figure 1 (A) This print advertisement for Silk plant-based products circulated in the March/April 2020 issue of Canada Convenience Store News . The ad copy states, ‘Plant-based goodness. Whenever. Wherever. Good for you!’ The statement attributed to the asterisk is ‘As part of a balanced diet and a healthy lifestyle.’ (B) Advertising for Kraft Light peanut butter indicates: ‘For health nuts. With 25% less fat, who needs to work out?’ Kraft was previously parent-owned by …

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 score0.232
Threshold uncertainty score0.478

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 head0.023
GPT teacher head0.293
Teacher spread0.270 · 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

Citations2
Published2021
Admission routes2
Has abstractyes

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