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Record W2492056595 · doi:10.1017/cbo9780511996221.006

New powers in the club: the challenges of global trade governance

2011· book-chapter· en· W2492056595 on OpenAlexaboutno aff
Amrita Narlikar

Bibliographic record

VenueCambridge University Press eBooks · 2011
Typebook-chapter
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsnot available
Fundersnot available
KeywordsInternational tradeClubPolitical scienceNegotiationCorporate governanceInternational economicsBusinessEconomicsLawFinance

Abstract

fetched live from OpenAlex

The Doha Development Agenda (DDA) – the first trade round to be negotiated under the umbrella of the World Trade Organization (WTO), and the ninth in the post-war multilateral trading system – has been dogged by recurrent deadlock. But the stasis surrounding the Doha negotiations should not be mistaken for stasis in the WTO. The world that the WTO was created to govern has been changing rapidly, and, unlike many other international organizations, the WTO has proved unusually responsive to these changes. The most important has been the shift in the economic balance of power, with the emergence of the new powers that have come to be popularly known as the BRICs. Unlike other organizations, such as the International Monetary Fund (IMF), the World Bank or the United Nations (UN) Security Council, that have been slow to adapt their decision-making structures to reflect these ground-level changes, the WTO has welcomed Brazil, India and China (the BICs) into the core of its decision-making. Moreover, many of these institutional changes within the organization are not a knee-jerk reaction to the financial and economic crisis, but predate it. As a result, the WTO today looks quite different from the ‘rich man’s club’ of the General Agreement on Tariffs and Trade (GATT), which was dominated by the old Quad (the European Union (EU), the United States (USA), Canada and Japan). Interestingly, however, this ability of the WTO to adapt to changing external imperatives has generated mixed results. In this article, I address the question: What impact has the emergence of the new powers of the BICs had on the WTO?

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.978
Threshold uncertainty score0.676

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.030
GPT teacher head0.219
Teacher spread0.189 · 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 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

Citations16
Published2011
Admission routes1
Has abstractyes

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