Bibliographic record
Abstract
On 13 March 2013, a Consent Award was issued in the case of St Mary’s VCNA, LLC v Government of Canada—a North American Free Trade Agreement (NAFTA) arbitration established under the United Nations Commission on International Trade Law (UNCITRAL) Arbitration Rules (1976). The brief award, rendered by a Tribunal composed of Richard Stewart, Brigitte Stern and Michael Pryles (presiding),3 recounted the parties’ agreement that the claims would be irrevocably abandoned in exchange for the Government’s commitment not to seek reimbursement for its costs in the matter. The parties’ agreement was reached just a few months after the Honourable Mr James Spigelman, AC, QC, former Chief Justice of the Supreme Court of New South Wales (Australia), issued a report indicating that documents inadvertently disclosed by the Claimant, during pre-hearing document production, could be retained and used by the Government in the arbitration, notwithstanding a claim of solicitor client privilege made with respect to them. It was said that the documents reflected communications between Claimant and counsel, relating to the issue of whether it had taken steps to manufacture the NAFTA standing after the conduct giving rise to the claim had already occurred.
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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.011 | 0.004 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.008 | 0.004 |
| Insufficient payload (model declined to judge) | 0.021 | 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".