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Record W4308632440 · doi:10.1515/jgd-2021-0070

Sovereign Debt Restructuring: The Way Forward

2022· article· en· W4308632440 on OpenAlexaff
Miranda Xafa

Bibliographic record

VenueJournal of Globalization and Development · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsCentre for International Governance Innovation
Fundersnot available
KeywordsRestructuringDebt restructuringSovereign debtDebt crisisFinancial crisisContext (archaeology)DebtEconomicsFinancial systemPosition (finance)Collective actionSovereigntyBusinessEconomic policyFinanceMacroeconomicsPolitical science

Abstract

fetched live from OpenAlex

Abstract The timely and orderly resolution of sovereign debt crises has long been a key challenge facing the global financial architecture. The framework for crisis resolution evolved in response to the capital account crises of the 1990s (Mexico, Russia, Southeast Asia), the Argentine crisis of 2001 and its aftermath, and the Global Financial Crisis of 2008–9 which morphed into the Euro area debt crisis of 2010–12. Efforts to expedite crisis resolution involved a two-pronged approach, one focusing on IMF policies and lending facilities and the other on ways to overcome the collective action problems involved in restructuring securitized debt. This paper examines these efforts in the context of the crises that triggered them and provides some guidance for the future. It argues that the way forward involves action on several fronts, including restoration of the essential principle that IMF programs should aim at reaching a manageable debt position within the program period with a high probability.

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)0.006
metaresearch head score (Gemma)0.011
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 score0.014
Threshold uncertainty score0.037

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.007
Scholarly communication0.0100.014
Open science0.0010.005
Research integrity0.0140.009
Insufficient payload (model declined to judge)0.0110.001

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 head0.021
GPT teacher head0.222
Teacher spread0.200 · 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
Published2022
Admission routes1
Has abstractyes

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