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Record W4417466984 · doi:10.1177/18681026251400351

China Aspires to be an Environmental Leader: How Should the Rest of the World Engage?

2025· article· en· W4417466984 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Current Chinese Affairs · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicAyn Rand and Brontë studies
Canadian institutionsUniversity of British Columbia
FundersGlobal Affairs CanadaAsia Pacific Foundation of CanadaUK Research and Innovation
KeywordsChinaPoliticsEnvironmentalismEnvironmental movementEnvironmental politicsRest (music)Global environmental analysisGlobal LeadershipEnvironmental policy

Abstract

fetched live from OpenAlex

China has transformed from a laggard to a rising leader of environmental governance. It plays a unique and essential role in promoting environmental cooperation, financing and implementing global green infrastructure, and generating and disseminating environmental technology and scientific knowledge. On each front, global progress cannot be made without China, especially with the US’ retreat from global leadership under the second Trump presidency. In this article, we consider China's concrete, multifaceted environmental efforts over the last decade and show China's various motives: it is partly responding to critiques of its massive environmental footprint; partly pursuing greater respect as a responsible global power; and partly seeking economic and political gains through clean energy transition, a greener planet, and a more stable climate. We call for new approaches to engaging China's aspiration to become a global environmental leader, while asserting clear expectations and responsibilities in that role.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score0.366

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
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 head0.055
GPT teacher head0.282
Teacher spread0.227 · 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