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Record W2792655932

The Automotive Rules of Origin Controversy That Stalled Trans-Pacific Partnership Negotiations

2015· article· en· W2792655932 on OpenAlex
Elise LeGros

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSMU Scholar (Southern Methodist University) · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsnot available
Fundersnot available
KeywordsNegotiationGeneral partnershipAutomotive industryPolitical scienceInternational tradeBusinessLawEngineeringAerospace engineering
DOInot available

Abstract

fetched live from OpenAlex

UTOMOTIVE rules of origin have been some of the most contentious issues in the Trans-Pacific Partnership (TPP) deliberations between the twelve TPP countries-Australia, Brunei, Canada, Chile, Japan, Malaysia, Mexico, New Zealand, Peru, Singapore, the United States, and Vietnam.Automotive rules of origin determine the percentage of cars or car parts (such as engines or transmissions) that have to originate in a treaty-region to receive preferential tariff treatment. 1 The North American Free Trade Agreement (NAFTA) between the United States, Canada, and Mexico 2 also has automotive rules of origin that have allowed car and car parts markets to flourish in the NAFTA region. 3 With that in mind, the United States, Canada, and Mexico (as parties to the TPP) had a keen interest during TPP negotiations to ensure that the TPP automotive rules of origin-which, if ratified by Congress, will supersede NAFTA's automotive rules of origin 4 -remain favorable to NAFTA countries.

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.

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)0.002
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.909
Threshold uncertainty score0.813

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0010.000
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 head0.143
GPT teacher head0.245
Teacher spread0.102 · 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