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Record W3044961431 · doi:10.1017/aju.2020.39

The Montreal Protocol or the Paris Agreement as a Model for a Plastics Treaty?

2020· article· en· W3044961431 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAJIL Unbound · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicMicroplastics and Plastic Pollution
Canadian institutionsnot available
Fundersnot available
KeywordsTreatyAppealProtocol (science)Process (computing)Montreal ProtocolSet (abstract data type)Law and economicsKyoto ProtocolComputer scienceBusinessLawPolitical scienceRisk analysis (engineering)Climate changeEconomicsChemistry

Abstract

fetched live from OpenAlex

The notion that a plastics treaty is necessary is gaining traction, but there is less agreement as to its content. Some, including this author, have suggested that a plastics treaty should be modelled on treaties such as the Montreal Protocol, which sets out a broad commitment to end the use of a particular material and then introduce regulations to ban particular forms of that material over time. This approach has an immediate appeal—it sends a signal to states and to industry that they must change their behaviors and products, while giving time to adapt to the new regulation and develop alternative materials or ways of working. The potential drawback of this approach is that some states simply will not accept such rigid standards. In addition, some states may prefer a second approach that is more obviously rooted in the principle of common but differentiated responsibilities, which assigns different obligations to parties according to their respective capacities. Within the climate change regime, the Paris Agreement takes both approaches, asking states to set their own nationally determined contributions (NDCs) to emissions reductions (common but differentiated responsibilities) and then to revise these NDCs over time through an iterative process to deliver progressively more ambitious targets for emissions reduction (moving toward a ban) or mitigation. In reality, neither approach is entirely suited to regulating plastics, so a new approach to treaty-making is required. This new approach should focus on the outcomes desired rather than the practices that need to be regulated.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.867
Threshold uncertainty score0.460

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 studies0.0010.000
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 head0.027
GPT teacher head0.255
Teacher spread0.228 · 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