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Record W2052389167 · doi:10.1300/j140v03n03_04

Canada-Chile Free Trade Agreement: An Analysis

2002· article· en· W2052389167 on OpenAlexaffabout
Terry Wu

Bibliographic record

VenueLatin American Business Review · 2002
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsFree trade agreementInvestment (military)GeographyFree tradePolitical scienceEconomicsInternational tradePolitics

Abstract

fetched live from OpenAlex

ABSTRACT The Canada-Chile Free Trade Agreement (FTA) came into effect in June 1997. This paper examines the rationale for free trade negotiations between Canada and Chile. Key trade and investment issues in the Canada-Chile FTA are also discussed. Although it is only a few years since the Canada-Chile FTA entered into force, the preliminary results indicate impressive growth in trade and investment between the two countries. RESUMEN. El Acuerdo de Libre Comercio Canadá-Chile (ALC) entró en vigor en junio 1997. Este documento examina el razonamiento que respalda las negociaciones entre Canadá y Chile sobre el Acuerdo de libre comercio. También abraca los temas más importantes sobre el comercio e inversiones entre Canadá-Chile. A pesar del poco tiempo transcurrido desde que se implantó el acuerdo de ALC entre Canadá y Chile, los resultados preliminarios indican una impresionante tasa de crecimiento entre las inversiones realizadas entre ambos países. RESUMO. O Acordo de Livre Comércio (ALC) Canadá-Chile entrou em vigor em junho de 1997. Este estudo investiga os fundamentos das livres negociaç[otilde]es comerciais entre o Canadá e o Chile. São abordados, também, o comércio principal e os investimentos realizados no ALC Canadá-Chile. Apesar de estar em vigor há poucos anos, os resultados preliminares deste acordo indicam um crescimento impressionante no comércio e nos investimentos entre os dois países.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.728
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.055
GPT teacher head0.212
Teacher spread0.156 · 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.

Study designObservational
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

Citations4
Published2002
Admission routes2
Has abstractyes

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