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Record W4387405779 · doi:10.31234/osf.io/wbj5v

Examining the effect of standardized packaging and limited flavour and brand descriptors of e-liquids among youth in Great Britain.

2023· preprint· en· W4387405779 on OpenAlex

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.

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Packaging Perceptions and Trends
Canadian institutionsUniversity of Waterloo
FundersKing's College LondonImperial College LondonNational Institute for Health Research Health Protection Research UnitNational Institute for Health and Care ResearchDepartment of Health and Social CareBritish Heart FoundationCancer Research UK
KeywordsFlavourAppealAdvertisingOddsPsychologyPackaging and labelingLimitingWhite (mutation)MathematicsMarketingBusinessFood sciencePolitical scienceLogistic regressionEngineeringStatisticsChemistryLaw

Abstract

fetched live from OpenAlex

Significance: E-cigarette vaping among youth has increased in Great Britain (GB). Many vaping products feature bright colours, novel brand names and flavour descriptions, which may appeal to youth. This study examined the impact of fully branded and white standardized e-liquid packaging (including limiting brand and flavour descriptors) on peer interest in trying e-liquids among youth in GB. Methods: A between-subjects experiment was included in the Action on Smoking and Health Smokefree GB Youth 2021 online survey (age 11-18; n=1628). Participants were randomised to view a set of three images of e-liquids from one of three packaging conditions: (1) fully branded (control), (2) white standardized, or (3) white standardized with coded brand names and limited flavour descriptors. Participants were asked which e-liquid they thought people their age would be most interested in trying, participants could also respond “no interest” or “don’t know”. Multinomial regression models were used to examine differences in selecting ‘interest in trying (ref)’, ‘no interest’ or ‘don’t know’ across the different packaging conditions. Results: Compared with fully branded packaging (22.7%), youth had higher odds of reporting no interest among people their age in trying the e-liquids in white standardized packs with brand codes and limited flavour descriptors (30.3%, AOR=2.07[95%CI=1.53-2.79], p<.001), but not white standardized packs with usual descriptors (23.1%, 1.21[0.89-1.65], p=.214). Youth had higher odds of reporting no interest in trying the e-liquids in white standardized packs with brand codes and limited flavour descriptors (30.3%) compared to white standardized packs with usual descriptors (23.1%, AOR=0.59, 95% CI= 0.44-0.79, p<.001).Conclusion: Standardized e-liquid packaging, which also limits flavour and brand descriptors, may reduce the appeal of e-liquids to youth.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.039
GPT teacher head0.243
Teacher spread0.204 · 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