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Record W7165269186

(Un)stable BITs

2022· article· W7165269186 on OpenAlexaboutno aff
Cree Jones, Weijia Rao

Bibliographic record

VenueeYLS (Yale Law School) · 2022
Typearticle
Language
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsnot available
Fundersnot available
KeywordsNegotiationSettlement (finance)Free trade agreementAdministration (probate law)TreatyKey (lock)
DOInot available

Abstract

fetched live from OpenAlex

In November 2018, after more than a year of negotiations by representatives from Canada, Mexico, and the United States, the United States Mexico-Canada Agreement (USMCA) was signed by leaders from the three member states, replacing the North American Free Trade Agreement (NAFTA). The Trump Administration viewed the successful renegotiation of NAFTA as one of its signature achievements and argued that the USMCA “solves the many deficiencies and mistakes in NAFTA.” One of the key revisions in the USMCA was the partial removal of investor-state dispute settlement (ISDS), the primary mechanism that had been used to enforce the investor protections guaranteed by NAFTA.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.291
Threshold uncertainty score0.974

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0050.002
Scholarly communication0.0080.006
Open science0.0010.003
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.2910.160

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 head0.015
GPT teacher head0.221
Teacher spread0.206 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations0
Published2022
Admission routes1
Has abstractyes

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