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Record W2925312414 · doi:10.1021/cen-09625-buscon4

G7 leaders sign plastics pledge

2018· article· en· W2925312414 on OpenAlexaboutno aff
Alex Tullo

Bibliographic record

VenueC&EN Global Enterprise · 2018
Typearticle
Languageen
FieldMedicine
TopicBiotechnology and Related Fields
Canadian institutionsnot available
Fundersnot available
KeywordsPledgeSign (mathematics)BusinessPolitical scienceLawMathematics

Abstract

fetched live from OpenAlex

Leaders at the G7 summit in Charlevoix, Quebec, turned up the heat on the ocean plastics issue by signing an agreement meant to boost recycling and reduce single-use plastics. The move was met with skepticism from some environmentalists, who are hungry for specific policies to tackle the problem, and with accelerated efforts from the plastics industry, which increasingly finds itself on the defensive. Five countries—Canada, France, Germany, Italy, and the U.K.—as well as the European Union signed the Ocean Plastics Charter. The U.S. and Japan abstained. The document calls for working with industry to make all plastics reusable, recyclable, or recoverable by 2030. Additionally, the leaders want to recycle or reuse 55% of plastic packaging by 2030 and recover all plastics by 2040. They also want to significantly reduce single-use plastics. The agreement seeks to address marine litter in “global hot spots” by helping such places develop waste management infrastructure.

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)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: Other
Teacher disagreement score0.251
Threshold uncertainty score0.838

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0090.002
Scholarly communication0.0070.002
Open science0.0010.004
Research integrity0.0130.007
Insufficient payload (model declined to judge)0.2510.118

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 head0.281
Teacher spread0.271 · 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 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
Published2018
Admission routes1
Has abstractyes

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