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Record W4408040526 · doi:10.1080/09692290.2025.2469708

Karl Polanyi and critical IPE: great transformations, the state and the importance of controlling the ‘rate of change’

2025· article· en· W4408040526 on OpenAlexaff
Ilirjan Shehu, Randall Germain

Bibliographic record

VenueReview of International Political Economy · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Policy and Reform Studies
Canadian institutionsCarleton University
Fundersnot available
KeywordsState (computer science)EconomicsKeynesian economicsNeoclassical economics

Abstract

fetched live from OpenAlex

The work of Karl Polanyi has figured prominently over the past two decades in critical international political economy (IPE) scholarship that attempts to understand the changing foundations of the world economy. Especially important have been the concepts of ‘embedded’ versus ‘disembedded’ economies and the double movement, which were embraced by John Ruggie in his pathbreaking effort to harness Polanyi to better understand changes in the Bretton Woods era during the 1980s. Most IPE scholarship follows Ruggie’s use of Polanyi, which we argue does not fully exploit the depth and scale of his usefulness. We extend the applicability of Polanyi’s ideas for IPE by considering two under-appreciated facets of his thought: his focus on the state as the most critical site of contestation through which world market is established and organised, and his concern for controlling the speed by which change unfolds in society, or what he called the ‘rate of change’. Both facets are underpinned by Polanyi’s deeply historical account of global change and transformation. Including these into our use of Polanyi extends the utility of his ideas to better understand contemporary developments such as technological change and the resurgence of nationalism and populism, which are the well-springs of the next great transformation.

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)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.093

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0050.049
Scholarly communication0.0100.013
Open science0.0010.004
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0020.000

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 head0.035
GPT teacher head0.374
Teacher spread0.339 · 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 designTheoretical or conceptual
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

Citations0
Published2025
Admission routes1
Has abstractyes

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