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Record W4411613186 · doi:10.1017/plc.2025.10010

The petrochemical historical bloc: Exposing the extent and depth of opposition to a high-ambition plastics treaty

2025· article· en· W4411613186 on OpenAlexaff
Peter Dauvergne, Rob Ralston, Jennifer A. Clapp (University of Waterloo), Jack Taggart

Bibliographic record

VenueCambridge Prisms Plastics · 2025
Typearticle
Languageen
FieldEngineering
TopicNuclear and radioactivity studies
Canadian institutionsUniversity of WaterlooUniversity of British Columbia
Fundersnot available
KeywordsOpposition (politics)PetrochemicalTreatyPolitical scienceMaterials scienceLawEngineeringWaste management

Abstract

fetched live from OpenAlex

Abstract Support for a high-ambition plastics treaty is gaining strength, particularly within global civil society and among lower-income developing countries. Still, opposition to binding measures – such as obligations to regulate petrochemicals or reduce global plastics production – remains intense and widespread. We propose the concept of a “petrochemical historical bloc” to help reveal the depth and extent of the forces opposing strong global governance of plastics. At the bloc’s core are petrostates and industry, especially producers of oil and gas feedstock, petrochemicals and plastics. Extending its influence are broader social forces – including certain political and economic institutions, consultancy firms and nongovernmental organizations – that reinforce and legitimize the discourses and tactics thwarting a high-ambition treaty. This bloc is driving up plastics production, externalizing the costs of pollution, distorting scientific knowledge and lobbying to derail negotiations. Yet the petrochemical historical bloc is neither monolithic nor all-powerful. Investigating differing interests and evolving politics within this bloc, we contend, can expose disingenuous rhetoric, weaken low-ambition alliances and reveal opportunities to overcome resistance to ambitious governance. In light of this, and toward highlighting fractures and potential counter-alliances and strategies, we call for a global research inquiry to map the full scope and nature of the petrochemical historical bloc.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0060.022
Scholarly communication0.0110.006
Open science0.0010.005
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0090.000

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 head0.005
GPT teacher head0.194
Teacher spread0.189 · 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

Citations5
Published2025
Admission routes1
Has abstractyes

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