<i>Mi casa es tu casa</i>? The Limits of Inter-systemic Dispute Resolution
Bibliographic record
Abstract
Abstract The ‘new NAFTA’ agreement between Canada, Mexico, and the United States maintained the system for binational panel judicial review of antidumping and countervailing duty determinations of domestic government agencies. In US–Mexico disputes, this hybrid system brings together Spanish and English-speaking lawyers from the civil and the common law to solve legal disputes applying domestic law. These panels raise issues regarding potential bicultural, bilingual, and bijural (mis)understandings in legal reasoning. Do differences in language, legal traditions, and legal cultures limit the effectiveness of inter-systemic dispute resolution? We analyze all of the decisions of NAFTA panels in US–Mexico disputes regarding Mexican antidumping and countervailing duty determinations and the profiles of the corresponding panelists. This case study tests whether one can actually comprehend the ‘other’. To what extent can a common law, English-speaking lawyer understand and apply Mexican law, expressed in Spanish and rooted in a distinct legal culture?
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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 | 0.021 | 0.040 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.005 | 0.013 |
| Scholarly communication | 0.012 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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".