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Record W4402376877 · doi:10.1017/plc.2024.19.pr2

Recommendation: Defining an effective “plastics treaty” through national perspectives and visions during early negotiations — R0/PR2

2024· peer-review· en· W4402376877 on OpenAlexaffabout

Bibliographic record

Venuenot available
Typepeer-review
Languageen
FieldEngineering
TopicNuclear and radioactivity studies
Canadian institutionsDalhousie University
Fundersnot available
KeywordsVisionNegotiationTreatyPolitical scienceInternational tradeBusinessLawSociologyAnthropology

Abstract

fetched live from OpenAlex

With increased international concern over the pervasive plastic pollution problem, early negotiations to develop a legally binding instrument to end plastic pollution (“the Plastics Treaty”) were supported by 175 member countries toward a sustainable plastics future. Defining features of the plastics treaty by UNEP member countries began in Punta del Este, Uruguay in November 2022 during the first session of the Intergovernmental Negotiating Committee (INC-1). However, INC-1 ended with many unanswered questions regarding the structure, scope, and targets of the treaty. Sixty-seven member countries, including members of the High Coalition Ambition, submitted their objectives, guiding principles, and expectations for the treaty before the INC-2 negotiations while also suggesting measures for its effective implementation. This paper compiles submissions of the 67 member countries and evidence-based policymaking approaches that have been described in peer-reviewed and gray literature following INC-1, but before the INC-2 negotiations in Paris, France in June 2023. Recommendations for developing an effective plastics treaty by most member countries include incorporating the complete life cycle of plastics, promotion of transparency in global trade through uniform labeling measures, capping virgin plastic production, incorporating extended producer responsibility to develop a circular economy, and addressing hazardous chemicals in plastics. Suggested implementation measures include building a multilateral fund, supporting smaller countries with technology transfer, improving local stakeholder engagement, developing subsidiary bodies, and regular national reporting. Encouragingly, many of these national plans were proposed in the Zero Draft document released in September 2023 before INC-3 in Nairobi, Kenya in November 2023 and further developed in the revised draft text which served as the provisional agenda at INC-4 in April 2024 in Ottawa, Canada.

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.663
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.018
GPT teacher head0.301
Teacher spread0.283 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2024
Admission routes2
Has abstractyes

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