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Complex multilateralism: MEIs and GSMs

2000· book-chapter· en· W753637748 on OpenAlexaff
Robert O’Brien, Anne Marie Goetz, Jan Aart Scholte, Marc Williams

Bibliographic record

VenueCambridge University Press eBooks · 2000
Typebook-chapter
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMultilateralismNexus (standard)Corporate governancePolitical sciencePoliticsTransformation (genetics)EconomicsComputer scienceChemistryLawManagement

Abstract

fetched live from OpenAlex

The preceding four cases studies have shown that numerous changes have taken place in the MEI–GSM relationship over the past twenty years. This chapter provides a comparative analysis of these developments and assesses their significance for global governance. We argue that there is a transformation in the nature of governance conducted by MEIs as a result of their encounter with GSMs. This transformation is labelled ‘complex multilateralism’ in recognition of its movement away from an exclusively state based structure. At present the transformation primarily takes the form of institutional modification, although some policy innovation is occurring. Such changes explicitly acknowledge that actors other than states speak on behalf of the public interest. While signalling an alteration to the method of governance, it is less clear that there is a change either in the content of governing policies or in the broad interests they represent. In the short run the MEI–GSM nexus is unlikely to greatly transform institutional functions. In the longer run, there is the possibility of incremental change in the functioning and ambit of these key institutions depending upon the outcome of continued political conflict.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.973
Threshold uncertainty score1.000

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 studies0.0010.001
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 head0.033
GPT teacher head0.226
Teacher spread0.192 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2000
Admission routes1
Has abstractyes

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