Bibliographic record
Abstract
In this piece, the author highlights that in the Eco Oro v. Colombia decision, the criticism of General Agreement on Tariff and Trade (GATT) Article XX has been misplaced. The general exceptions clause could not achieve its intended effects because the tribunal adopted an incorrect approach. The tribunal’s evaluation is contrary to accepted World Trade Organization (WTO) jurisprudence and customary international law. The decision cannot form the basis for blaming the drafting of the provision or the scope of GATT Article XX. It does not define the horizon of WTO style as exceptions, as suggested by many. It is important to prove this hypothesis given that the operation of general exceptions (especially GATT-based) is determined by judicial precedents. It is not advisable to rely upon judicial precedents contrary to accepted legal norms. Furthermore, Canada has been a staunch supporter of GATT Article XX exceptions and has included such in eighteen out of its twenty-four bilateral investment treaties (BITs). Thus it is imperative for Canada (base of claimant Eco Oro), as well as other countries, to know whether the effectiveness of the general exceptions is really at stake in this case.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 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".