Waste Management Inc. <i>v</i>. United Mexican States (No. 2)
Bibliographic record
Abstract
538 icsid (Additional Facility) — Rules — Venue of arbitration — Relevant factors — Neutrality of forum — Applicability of New York or Panama Conventions — Differences between two Conventions — Positions taken by Government of Canada in earlier proceedings — Whether relevant — Convenience of parties and counsel — nafta Articles 1122, 1130 — Arbitration (Additional Facility) Rules, Articles 20, 21 nafta — Chapter 11 — First arbitration commenced without valid waiver under Article 1121(2)(b) — First Tribunal deciding that it lacked jurisdiction over the claim — Whether new proceedings permissible — nafta Articles 1120, 1121 Arbitration — Res judicata — Decision denying jurisdiction of first Tribunal — Whether precluding new arbitration on same claim — Interpretation of first Tribunal’s decision — nafta Article 1136 — icsid (Additional Facility) Rules, Article 53(4) Arbitration — Abuse of process — Successive arbitrations of same claim — Whether Tribunal has inherent power to stay proceedings — No evidence of lack of bona fides — Second arbitration allowed Costs — Costs and expenses — Unsuccessful jurisdictional objection — Whether Respondent should be required to pay costs and expenses in any event — Extent of Tribunal’s discretion
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.247 | 0.113 |
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".