Principles of Treaty Interpretation in the NAFTA Arbitral Award on <i>Canadian Cattlemen</i>
Bibliographic record
Abstract
The NAFTA arbitral award on Canadian Cattlemen is specific in having its entire reasoning based on principles of treaty interpretation. Attempting to clarify the notion of “investment” under the NAFTA Agreement, this award carefully examines every principle of interpretation recognized under the Vienna Convention on the Law of Treaties that is applicable to the case. This article analyses the tribunal’s use of the methods of interpretation such as plain and ordinary meaning, object and purpose, context, subsequent practice and of supplementary means of interpretation. In terms of supplementary methods of interpretation, the tribunal’s reference to previous arbitral awards as supplementary means of treaty interpretation is evaluated, especially against the background of the lack of precedential force of international arbitral awards.
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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 | 0.019 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.017 | 0.028 |
| Scholarly communication | 0.020 | 0.006 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.010 | 0.016 |
| Insufficient payload (model declined to judge) | 0.005 | 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".