MétaCan
Menu
Back to cohort
Record W4414143735 · doi:10.1016/j.sftr.2025.101275

Is reusable beverage packaging better than single–use plastic?

2025· article· en· W4414143735 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.

Bibliographic record

VenueSustainable Futures · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicRecycling and Waste Management Techniques
Canadian institutionsUniversity of British ColumbiaFisheries and Oceans Canada
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsReuseSustainabilityRenewable energyElectricityKey (lock)Yield (engineering)

Abstract

fetched live from OpenAlex

We assessed the environmental impacts of seven beverage packaging types—reusable glass bottles, reusable PET bottles, reusable PP cups, and single-use PET bottles and cups (with and without recycled content)—in the European context. We identified key emission drivers, including recycling rates, recycled content, electricity carbon intensity, reuse cycles, and transport distances. Our findings show that reusable systems, particularly PP cups, yield the lowest impacts on the environment. In contrast, single–use PET options, especially those without recycled content, generate the highest emissions, though incorporating recycled materials significantly mitigates these impacts. Using Monte Carlo simulation with ±15 % variability in return rates, we confirmed that reuse systems maintain environmental superiority despite behavioral uncertainty. These results highlight an urgent need to invest in reuse infrastructure, which remains underdeveloped despite growing global attention, including at recent forums such as the Busan reuse summit.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.125
Threshold uncertainty score0.740

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 science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.007
GPT teacher head0.229
Teacher spread0.222 · 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