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Geopolitics, Global Governance and Crisis Narratives

2009· article· en· W1964815163 on OpenAlexaff
Anna Schmidt, Paz Arancibia, Rakhil Kahlon, Nobuhiro Komoto, J. Myers, Mary Munyi, Tonaina Ngororano, George Omondi, Prabal Sepaha, Kim Yeojeong

Bibliographic record

VenueIDS Bulletin · 2009
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsInstitute on Governance
Fundersnot available
KeywordsGeopoliticsGlobeSummitCorporate governanceGlobal governancePolitical sciencePolitical economyDiplomacyFinancial crisisVulnerability (computing)NarrativeDevelopment economicsGlobal commonsEconomic systemEconomicsLaw

Abstract

fetched live from OpenAlex

The financial crisis demonstrated a new quality of interconnected vulnerabilities across the globe. Yet, increased interdependence may lead to increased friction rather than common problem-solving or a shared outlook. This article is concerned with the prospects for future reform of global economic governance, taking as a starting point the apparent shift from the G8 to the G20 as the focal forum for reform. We show that (1) the crisis both reflects and propels important geopolitical change and that (2) interpretations of the crisis differ widely, leading to diverging ideas of different actors about each other and about future reforms. We then consider some implications, notably with regard to the utility of summit-level diplomacy and the transfer of responsibilities to controversial institutions, all within an environment marked by ongoing uncertainty.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0020.017
Scholarly communication0.0080.005
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.012
GPT teacher head0.222
Teacher spread0.211 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2009
Admission routes1
Has abstractyes

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