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Record W2599639032 · doi:10.1017/s1474745616000616

The ‘Development’ Discourse in Multilateral Trade Lawmaking

2017· article· en· W2599639032 on OpenAlexaff
Nicolas Lamp

Bibliographic record

VenueWorld Trade Review · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsQueen's University
Fundersnot available
KeywordsLawmakingOddsDeveloping countryInternational tradeEconomicsPolitical scienceDifferential treatmentInternational economicsLaw and economicsLawEconomic growthLegislature

Abstract

fetched live from OpenAlex

Abstract The impact of the idea of ‘development’ in multilateral trade lawmaking is often reduced to the principle of ‘special and differential treatment’, which exempts developing countries from certain obligations imposed by the trade regime. The article shows that ‘development’ has always presented a much wider challenge to the vision of the trade regime championed by the major trading nations. The development discourse has conceived the trade regime's historical significance, the regime's aims, and the relationships among its members in ways that were often fundamentally at odds with the conception preferred by most developed countries. The article explores how the development discourse has informed lawmaking initiatives by developing countries throughout the history of the trade regime. While not all of these initiatives were successful or necessarily fruitful, they show that the pursuit of development in trade lawmaking has always been more than an effort to seek exemption from trade rules.

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)0.033
metaresearch head score (Gemma)0.019
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: Empirical · Consensus signal: none
Teacher disagreement score0.033
Threshold uncertainty score0.173

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0330.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.004
Science and technology studies0.0080.055
Scholarly communication0.0160.009
Open science0.0020.007
Research integrity0.0070.009
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 head0.046
GPT teacher head0.386
Teacher spread0.340 · 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
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

Citations8
Published2017
Admission routes1
Has abstractyes

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