Sprinting During a Marathon: Why the WTO Ministerial Failed in July 2008
Bibliographic record
Abstract
The World Trade Organization (WTO) nine-day ministerial sprint in July 2008 was an attempt to break the logjam on ‘modalities’ for agriculture and non-agricultural market access (NAMA) in the marathon Doha Round negotiations. All that observers can know for certain is that the parties did not agree, but understanding the failure is an essential prelude to any attempt to relaunch the Round. This paper is a counterfactual analysis of the various explanations that have been offered for the failure. I consider factors exogenous to the negotiation process such as the macroeconomic context; and factors endogenous to the process such as the timing and level of participation in the meeting, and the nature of the issues under discussion. I conclude that sprinting during a marathon is unwise. The London G-20 Summit commitment to a balanced outcome is achievable, but assembling a package with so many issues involving 153 Members takes time and patience.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.030 | 0.047 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.010 |
| Scholarly communication | 0.014 | 0.007 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.010 | 0.015 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".