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Record W4211073839 · doi:10.32920/19159565.v1

Healthwashing rhetorical tropes in health-positioned packaged goods

2022· preprint· en· W4211073839 on OpenAlexaffabout
Lori Kainu Fischer

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Packaging Perceptions and Trends
Canadian institutionsToronto Metropolitan UniversityProfessional Engineers Ontario
Fundersnot available
KeywordsCraftScope (computer science)MarketingGRASPBusinessNarrativeAdvertisingCompetition (biology)Rhetorical questionFood packagingComputer scienceEngineeringArtVisual arts

Abstract

fetched live from OpenAlex

The current scope of research in consumer-packaged goods has focused primarily on how packaging design is structured to differentiate itself from its competition with the ability to grasp a consumer’s attention in mere seconds. The communicative effects of packaging research span the elements of design as they influence the perception of product attributes and expected consumer experiences. This major research paper explores which elements of packaging design are used in health-positioned products in consumer-packaged goods in Canada and how these elements of design are leveraged to craft a narrative. The framework of packaging design elements and implications from past research is used to support the findings and provide critical analysis in conjunction with the content analysis conducted on two well-established health-positioned food brands in Canada, Presidents Choice Free From and Presidents Choice Blue Menu.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.282
Threshold uncertainty score0.560

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.016
Scholarly communication0.0070.003
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.051
GPT teacher head0.307
Teacher spread0.256 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2022
Admission routes2
Has abstractyes

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