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Record W4416191795 · doi:10.1080/01436597.2025.2581216

The European Bank for Reconstruction and Development meets the state: a post-pandemic compromise

2025· article· en· W4416191795 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.

Bibliographic record

VenueThird World Quarterly · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicQuality of Life Measurement
Canadian institutionsMcGill University
Fundersnot available
KeywordsCompromiseEuropean union

Abstract

fetched live from OpenAlex

Since its establishment in 1991, the European Bank for Reconstruction and Development (EBRD) has been a champion of neoliberal transition and private sector financing in the post-communist world. With the decline of the Washington Consensus paradigm, the emergence of China as a powerful global development actor, and the rise of state capitalism, multilateral development banks have begun to adjust their policies to the changing environment reconsidering the role of the state. This article conceptualises the Covid-19 pandemic as an external shock that has accelerated this process. Analysing the EBRD’s response to the pandemic, we argue that the crisis has pushed the EBRD to redefine the state’s role, accepting it as a risk-taker in financing green infrastructure projects. Using historical institutionalist lenses, we find that the undergoing fusion between neoliberalism and state capitalism within a relatively coherent development finance regime complex is leading the EBRD to a post-pandemic compromise: the Bank maintains its commitment to private sector financing and simultaneously engages with states aiming to support the funding of sustainable 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.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.921
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.038
GPT teacher head0.311
Teacher spread0.273 · 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