MétaCan
Menu
Back to cohort
Record W4415142057 · doi:10.1017/plc.2025.10034

Why don’t we reuse our food packaging? Insights from two organizations implementing packaging return systems to avoid single-use plastics

2025· article· en· W4415142057 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCambridge Prisms Plastics · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Packaging Perceptions and Trends
Canadian institutionsDalhousie University
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of CambridgeGovernment of Canada
KeywordsReuseFood packagingKey (lock)Food productsPlastic packagingPlastic pollutionSingle useFood waste

Abstract

fetched live from OpenAlex

Abstract Plastic pollution is a pervasive and urgent environmental issue, caused by our unsustainable use of single-use plastics (plastic items that are commonly discarded after one use). Many of these plastics are used in food packaging, frequently ending up in the environment. A potential solution to this problem is packaging reuse systems, meaning systems to incentivize consumers to return used packaging for refill (by charging a deposit) or appealing to environmentally conscious consumers to bring in their own packaging for shopping (e.g., in zero-waste stores). Deposit return systems (DRS) are well-established in several countries; however, they are often used for single-use packaging with the purpose to improve the recycling rate of plastic packaging (and therefore do not focus on reuse). Further, DRS mainly apply to beverages, not solid food containers. Nevertheless, they are well-studied systems, highlighting key concerns for the implementation of innovative solutions to keep packaging waste out of the environment (e.g., aspects of hygiene, transport and logistics, brand identity and consumer behavior). In this study, we explore how packaging reuse systems are implemented for solid and semi-solid food products by two organizations (one in Canada and the other in Germany) concerned with reducing plastic waste in the food sector.

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)0.000
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.340
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0010.000
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.020
GPT teacher head0.238
Teacher spread0.218 · 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