Global Governance: The World Trade Organization’s Contribution
Bibliographic record
Abstract
Democracy and administrative law concern ideas of governance, legitimacy, and accountability. With the growth of bureaucracy and regulation, many democratic theorists would argue that administrative law mechanisms are essential to achieving democratic objectives. This article considers the World Trade Organization’s (WTO) contribution to governance both in terms of global administrative law and democracy. In relation to administrative law, it first explores the extent to which the WTO’s own dispute settlement process contributes to this area. Second, it considers the operation of administrative law principles embedded within the WTO Agreements on Members. For example, the WTO Agreements require that certain laws be administered “in a uniform, impartial and reasonable manner.” This obligation was recently considered by the Appellate Body, but uncertainty remains about the scope this provision has to permit WTO panels to review domestic administrative practices. In relation to the WTO’s contribution to democracy, this article first considers the challenges and limitations of the current system of decision making within the WTO and compares it to democratic theory. Second, it examines how democracies comply with the findings of WTO dispute settlement tribunals and how compliance could be improved. It concludes by speculating on the implications of this discussion for public international law more broadly.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
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".