Bibliographic record
Abstract
There is a great deal of misunderstanding and confusion about what the World Trade Organization (WTO) is, what it does, and how it works. The misconceptions, myths and fallacies about the WTO are numerous, but the author focuses on a few key questions central to the legitimacy of the WTO. Who and what is the WTO – what is its fundamental mission? Are the decisions made by WTO dispute settlement bodies arbitrary, unfair and lacking in democratic accountability? Does the WTO infringe on the sovereignty of national governments? What is the role of developing countries, and the least developed among them, in the world trading system? What can be done to improve the public image of the WTO and to make it more accountable to its constituents? The author, a former senior negotiator for Canada in the Uruguay Round of multilateral trade negotiations and the first Director of the WTO Appellate Body Secretariat, provides answers to this difficult questions in clear and simple terms by describing the history and purpose of the WTO as well as its future challenges.
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 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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.036 |
| Scholarly communication | 0.013 | 0.012 |
| Open science | 0.001 | 0.012 |
| Research integrity | 0.008 | 0.008 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".