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Record W2039409098 · doi:10.1080/01900690008525507

Negotiating chile's entry to nafta: trade and investment issues

2000· article· en· W2039409098 on OpenAlexaffabout
Terry Wu, Neil Longley

Bibliographic record

VenueInternational Journal of Public Administration · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicWorld Trade Organization Law
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsSummitNegotiationInternational tradeFree trade agreementAccessionInvestment (military)Intellectual propertyFree tradePolitical scienceTrade agreementSettlement (finance)Foreign direct investmentEconomicsInternational economicsLawPoliticsGeographyEuropean unionFinance

Abstract

fetched live from OpenAlex

In December 1994, the United States, Canada, and Mexico agreed in principle to extend the North American Free Trade Agreement (NAFTA) to Chile at the Summit of the Americas. This paper examines Chile's accession to NAFTA with special reference to key issues in the negotiations. It discusses the rationale for extending NAFTA to Chile from the U.S. and Chilean perspectives. The study also examines how NAFTA negotiators may address issues such as trade and investment rules, technical standards, dispute settlement obligations, intellectual property rights, phase-in periods, and labor and environmental standards.

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)0.007
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.127
Threshold uncertainty score0.253

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.006
Scholarly communication0.0120.005
Open science0.0010.005
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.021
GPT teacher head0.329
Teacher spread0.308 · 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 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

Citations0
Published2000
Admission routes2
Has abstractyes

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