An Evaluation of Current Legitimacy-Based Objections to NAFTA's Chapter 11 Investment Dispute Resolution Process
Bibliographic record
Abstract
The year 1994 saw the conclusion of a very important trilateral trade and investment treaty in North America: the North American Free Trade Agreement. Since then, this agreement has had a tremendous impact on the trading relations among the three signatory states-the United States, Canada, and Mexico. Of particular significance is Chapter 11, the Investment Chapter. One of the main objectives of Chapter 11 is to provide an effective means for the resolution of disputes between a foreign investor and the host government. To this end, it provides a mechanism whereby private parties can initiate arbitration proceedings against the host state before an international tribunal such as, for example, the International Convention for the Settlement of Investment Disputes, commonly referred to as ICSID.
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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 | 0.134 | 0.292 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.006 |
| Science and technology studies | 0.012 | 0.017 |
| Scholarly communication | 0.034 | 0.011 |
| Open science | 0.005 | 0.006 |
| Research integrity | 0.016 | 0.012 |
| Insufficient payload (model declined to judge) | 0.009 | 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".