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Record W4396672478 · doi:10.1017/plc.2024.11

National Action Plans: Effectiveness and requirements for the Global Plastics Treaty

2024· article· en· W4396672478 on OpenAlex
Antaya March, Audrey Tsouza, Laura Karoliina Nieminen, Samuel Winton, H.R.K. Arora, Sayda-Merhabin Shejuti, Tony R. ‎Walker, Stephen Fletcher

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.

Bibliographic record

VenueCambridge Prisms Plastics · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicRecycling and Waste Management Techniques
Canadian institutionsDalhousie University
Fundersnot available
KeywordsTreatyAction (physics)BusinessEnvironmental planningPolitical scienceLaw and economicsInternational tradeEnvironmental scienceLawEconomics

Abstract

fetched live from OpenAlex

Abstract National Action Plans (NAPs) are a possible implementation measure for the Global Plastics Treaty, through a NAP-based approach. Their effectiveness in other international agreements is contested, and their current format allows for weak, voluntary measures with limited accountability. By analysing stakeholder and country submissions to the Intergovernmental Negotiating Committee (INC) secretariat ahead of INC-2 negotiations in Paris, June 2023, conducting a literature review, and interviewing key actors, this study aims to determine the support that governments and stakeholders have for a NAP-based approach in the Treaty, and identify the key enablers needed to ensure that NAP-based approaches, if adopted in the Treaty, are effective. Results indicate that by INC-2, more than 85% of countries supported a NAP-based approach, suggesting a high chance of this approach being selected as the means of implementation of the Treaty. However, interviewees and literature reviews indicate that NAPs in their current form are not likely to be effective at delivering ambitious Treaty targets. Six key enablers to improve the effectiveness of plastics NAPs are identified. These enablers should be integrated into any plastics NAPs both independently, and as potential requirements of the Treaty to ensure that NAP-based approaches are effective and have the impact intended.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.805
Threshold uncertainty score0.407

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 science0.0000.000
Research integrity0.0000.000
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 head0.034
GPT teacher head0.314
Teacher spread0.280 · 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