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Record W4386380534 · doi:10.1080/09692290.2023.2250349

Blind spots in IPE: contract law and the structural embedding of transnational capitalism

2023· article· en· W4386380534 on OpenAlexaff
A. Claire Cutler

Bibliographic record

VenueReview of International Political Economy · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsCapitalismLawPoliticsPolitical scienceInternational political economyPolitical economyLaw and economicsSociologyEconomics

Abstract

fetched live from OpenAlex

This paper focuses on the ‘blind spots in IPE’ recently addressed in related Special Issues of Review of International Political Economy and New Political Economy. It identifies a blind spot of law in IPE, tracing the problem to a blind spot in the discipline of international relations (IR) generated by tendencies in dominant theories to consider international law to be super-structural, epiphenomenal, and not worthy of political analysis, and to associations of international law with idealism. The analysis notes an inverse blind spot in international law (IL), wherein legal scholars tend to regard IL as autonomous of politics and the political economy of ‘who gets what, when, how’. These blind spots contribute to the neglect of how legal forms function to mystify the political economy of IL, thereby advancing transnational capitalism and inequality. The empirical focus is on transnational contract law, dispute settlement, and value and production chain contracting. These laws function as Capital’s law and central pillars of the transnational politico-legal order by reaching deep inside states to restructure domestic spheres according to new constitutionalism and the demands of transnational capital. Drawing on critical political economy, the paper develops a historical materialist analysis to denaturalize and demystify Capital’s law. This is a necessary move for scholars interested in the progressive and emancipatory potential of IL.

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 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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.889
Threshold uncertainty score0.612

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.016
GPT teacher head0.285
Teacher spread0.269 · 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 teacher head, 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

Citations7
Published2023
Admission routes1
Has abstractyes

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