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Record W3088788269 · doi:10.1017/s1474745620000385

<i>Mi casa es tu casa</i>? The Limits of Inter-systemic Dispute Resolution

2020· article· en· W3088788269 on OpenAlexaboutno aff
Rodrigo Camarena González, Bradly J. Condon

Bibliographic record

VenueWorld Trade Review · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsnot available
Fundersnot available
KeywordsDutyGovernment (linguistics)Dispute resolutionLawPolitical scienceAgreementLegal cultureCommon lawLaw and economicsSociologyLinguistics

Abstract

fetched live from OpenAlex

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?

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.885
Threshold uncertainty score0.362

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.052
GPT teacher head0.261
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2020
Admission routes1
Has abstractyes

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