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Record W2994323170 · doi:10.1163/19426720-02503004

The Politics of Regulatory Design in the Sovereign Debt Restructuring Regime

2019· article· en· W2994323170 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

VenueGlobal Governance A Review of Multilateralism and International Organizations · 2019
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Regulation and Crises
Canadian institutionsBalsillie School of International Affairs
Fundersnot available
KeywordsRestructuringPoliticsSovereigntyDebtSovereign debtInternational lawDebt restructuringLaw and economicsPublic international lawPolitical sciencePolitical economyEconomicsLawFinance

Abstract

fetched live from OpenAlex

Abstract This article looks at two recent initiatives aimed at improving sovereign debt restructuring processes and asks why one initiative succeeded while the other failed. It argues that the success or failure of a reform initiative in the debt restructuring regime depends primarily on the legal-institutional design of the mechanism it is advancing. Hard law mechanisms face enormous political obstacles that make their realization unlikely. Several of these obstacles have been identified by previous studies, but this article highlights additional barriers. It also shows that, in contrast to hard law arrangements, private law contracts provide politically useful mechanisms for regulating debt restructuring, especially for powerful states with major influence over reform outcomes—namely, the United States. The article also argues that the historical legacy of earlier reform initiatives matters, but mainly through its ability to further enhance or diminish the political prospects of mechanisms whose utility has already been determined by their design features.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.879
Threshold uncertainty score0.293

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 head0.015
GPT teacher head0.241
Teacher spread0.226 · 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