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Record W7116855339 · doi:10.1017/9781009348546

Regional Trade Agreements, Prosperity and the Global South

2025· book· W7116855339 on OpenAlexaboutno aff
Yenkong Ngangjoh Hodu, Collins Chikodili Ajibo

Bibliographic record

VenueCambridge University Press eBooks · 2025
Typebook
Language
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsnot available
Fundersnot available
KeywordsProsperityUnderpinningFree tradeRegional tradeEnthusiasmGlobal SouthWork (physics)NormativeEconomic integration

Abstract

fetched live from OpenAlex

This book provides a thought-provoking critical analysis of the functionality of regional trade regimes in the Global South. It examines four regional trade agreements (RTAs) - the African Continental Free Trade Agreement (AfCFTA), the Association of South East Asian Nations (ASEAN), the Southern Common Market (Mercosur) and the United States-Mexico-Canada Free Trade Agreement (USMCA). Ngangjoh Hodu and Ajibo argue that while there has been immense enthusiasm amongst countries in the Global South to create RTAs, this has not translated into concerted efforts to make the RTAs work as envisaged, resulting in RTAs that are largely lacking in concreteness. In this innovative work, the authors invite international economic lawyers and other stakeholders to reflect on how normative beliefs and interests inform inter-state relations and thereby, the law of regional economic community. In so doing, it argues that the idea of prosperity underpinning RTAs as they currently exist is more of a mirage than reality.

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)0.001
metaresearch head score (Gemma)0.002
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: Other · Consensus signal: Other
Teacher disagreement score0.006
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.012
Scholarly communication0.0050.004
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0050.001

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 head0.017
GPT teacher head0.217
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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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