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Record W4412049696 · doi:10.1016/j.marpol.2025.106820

Competing axes of power in the global plastics treaty: Understanding the politics of progress and setbacks in negotiating a high-ambition agreement

2025· article· en· W4412049696 on OpenAlexafffund
Peter Dauvergne, Jen Iris Allan, Simon Beaudoin, Bethanie Carney Almroth, Jennifer A. Clapp (University of Waterloo), Emily Cowan, Babet de Groot, Trisia Farrelly, Natalia de Miranda Grilli, Alice Mah, Elizabeth Mendenhall, Rosetta Paik, Rob Ralston, Peter Stoett, Aleke Stöfen-O’Brien, Jack Taggart, Rachel Tiller, Patricia Villarrubia-Gómez, Joanna Vince

Bibliographic record

VenueMarine Policy · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicMicroplastics and Plastic Pollution
Canadian institutionsOntario Tech UniversityUniversity of WaterlooUniversity of British Columbia
FundersSocial Sciences and Humanities Research Council of CanadaNorges Forskningsråd
KeywordsNegotiationPoliticsTreatyPower (physics)AgreementPolitical scienceLaw and economicsPolitical economyLawInternational tradeSociologyBusinessPhilosophyPhysics

Abstract

fetched live from OpenAlex

Headlines in December 2024 proclaimed the “collapse” and “failure” of United Nations plastics treaty negotiations in Busan, South Korea. This is, however, an overly simplistic and pessimistic portrayal. Progress on less contentious issues was made, and the meeting was adjourned with a commitment to continue negotiating in 2025 on the basis of the “Chair’s text.” Significantly, at the closing plenary, a majority of states voiced support for a “high-ambition” treaty covering the full life cycle of plastics, drawing clear red lines on the necessity of legally binding measures to phase out hazardous plastics, regulate chemicals in plastics, and finance just transitions. Delegates from developing countries such as Rwanda, Panama, and Mexico were especially steadfast in demanding an “ambitious” treaty to end plastic pollution, including in marine ecosystems. Yet there were also setbacks, as multiple, intersecting axes of pro-plastics power – comprising loose alliances of petrostates and business interests profiting from rising plastics production – sought to thwart high-ambition obligations. Industry actors lobbied against stringent commitments and endeavored to narrow the treaty’s scope to downstream waste management. Petrostates such as Russia and Saudi Arabia, meanwhile, stalled discussions and bracketed high-ambition text. Divisions between developing and developed countries also emerged over the appropriate financing mechanism. Despite this turbulence, achieving a strong treaty remains possible. But this will require strengthening the high-ambition axis of power, enhancing transparency and accountability, and ensuring the meaningful inclusion of rights holders, local communities, and civil society.

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)0.031
metaresearch head score (Gemma)0.023
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: none
Teacher disagreement score0.038
Threshold uncertainty score0.165

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0310.023
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.005
Science and technology studies0.0230.066
Scholarly communication0.0380.039
Open science0.0020.019
Research integrity0.0140.022
Insufficient payload (model declined to judge)0.0100.001

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 head0.010
GPT teacher head0.247
Teacher spread0.237 · 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

Citations16
Published2025
Admission routes2
Has abstractyes

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