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Record W4408877361 · doi:10.1080/09644016.2025.2481713

Climate change governance by central banks in an era of interlocking crises

2025· article· en· W4408877361 on OpenAlex
Jacqueline Best, Matthew Paterson, Ilias Alami, Daniel Bailey, Sarah Bracking, Jeremy Green, Eric Helleiner, James Jackson, Paul Langley, Sylvain Maechler, John Morris, Stine Quorning, Adrienne Roberts, Jens van ’t Klooster, Robert Watt, Stanley Wilshire

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

VenueEnvironmental Politics · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicSustainable Finance and Green Bonds
Canadian institutionsUniversity of WaterlooUniversity of Ottawa
Fundersnot available
KeywordsClimate changeCorporate governancePolitical scienceInterlockingPolitical economyFinancial systemEconomicsFinanceOceanographyGeology

Abstract

fetched live from OpenAlex

In this article, we survey the literature on central bank action on climate change, focusing particularly on how the combined crises of COVID-19, inflation, and Ukraine have affected this action. We argue that the current situation is a critical juncture in which recent crises have created a highly indeterminate situation regarding what central banks might do regarding climate change. To date, some central banks have used these crises as opportunities for expanding their role while others have succumbed to pressure to withdraw from climate action. We explore three dynamics that generate this openness to various potential trajectories for climate action: competing interpretations of inflation’s implications for climate policy; shifting forms of expertise within central banks; and attempts at global coordination of central bank activity. We then argue that how this critical juncture is resolved depends critically on national variations in the institutional character of central banks and their political context.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.141
Threshold uncertainty score0.705

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 head0.017
GPT teacher head0.221
Teacher spread0.204 · 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