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Record W2051700374 · doi:10.1002/pts.834

Requirements for packaging from an ageing consumer's perspective

2008· article· en· W2051700374 on OpenAlexaff
Lisa M. Duizer, Tom Robertson, Jing Han

Bibliographic record

VenuePackaging Technology and Science · 2008
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Packaging Perceptions and Trends
Canadian institutionsAcadia University
Fundersnot available
KeywordsSpillagePackaging and labelingFocus groupFood packagingNoticeMarketingOperations managementPsychologyEngineeringBusinessAdvertisingGerontologyMedicineMechanical engineeringPolitical science

Abstract

fetched live from OpenAlex

Abstract The overall objective of this research was to explore ageing consumers' attitudes towards currently available food packaging in New Zealand. Ninety‐nine individuals (over the age of 60) in New Zealand were surveyed to determine packaging attributes of importance when selecting food products. This was followed with a focus group of 13 individuals to discuss improvements to packaging. Frequencies of responses were calculated for the survey data, and cross‐tabulations and chi‐square tests were used to determine the relationships between variables. Price, safety, size of packaging and ability to recycle were of most importance to these individuals. Problems encountered with food packaging included tight lids, small printing and spillage during opening. Of the types of package closures investigated, opening of packages, rather than resealing of packages proved problematic. Fifty percent or more of respondents indicated that peelable induction seals, lug closures and continuous thread closures were problems that occurred ‘very often’ or ‘frequently’. Sixty‐one percent of the participants surveyed had asked for assistance opening some types of packages, and this was particularly prevalent among individuals who had weakness in their arms, hands or wrists. Changes to package closures suggested during the focus groups included increasing the size of twist off caps, larger ring pulls on aluminium cans and including more sliding resealable closures on foil and plastic packaging. Larger printing on labels was also recommended by the participants. Copyright © 2008 John Wiley & Sons, Ltd. This article was published online on 1st December 2008. An error was subsequently identified. This notice is included in the online and print versions to indicate that both were corrected on 19th March 2009.

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)0.002
metaresearch head score (Gemma)0.004
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.297
Teacher spread0.258 · 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

Citations103
Published2008
Admission routes1
Has abstractyes

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