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Canada-Korea Free Trade: A Watershed in Economic Integration with Asia

2017· article· en· W6940683704 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Calgary · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicMycorrhizal Fungi and Plant Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsEconomic integrationCompetition (biology)Punitive damagesPoliticsLevel playing fieldValue (mathematics)DemocracyFree trade

Abstract

fetched live from OpenAlex

If there is one thing to question about the recently signed free-trade deal between Canada and South Korea, it is this: What took us so long? South Korea is a long-time trading partner with Canada, with a democratic political system and a rapidly expanding free-market economy offering strong protections for commercial rights. The country is an excellent place for Canada to begin a deeper economic integration with the larger Asian market. The details of the deal itself are certainly worth celebrating. Certainly Canadian consumers will save money on Korean-made products, such as cars. But Canadian companies exporting to South Korea have also, in recent years, found themselves increasingly unable to compete with exporters from the E.U. and U.S., who have already established free-trade deals with Seoul. Since the Americans signed their deal, U.S. exports to South Korea have soared, while the value of Canada’s exports to the same market have dropped by 30 per cent, as Canadians were left facing tariffs as high as 269 per cent. The Canada-Korea Free Trade Agreement levels that playing field for Canada, something that will especially benefit firms exporting agricultural products (tariffs on Canadian beef, for example, were a punitive 72 per cent) and professional services. Even automakers may find that whatever increased competition comes from cheaper Korean car imports are offset by the opportunity to more easily sell Canadian-made vehicles in the much-larger Asian marketplace. There is a wealth of economic opportunity waiting in that burgeoning market; this free-trade deal is a pivotal first step for Canada to start fully capitalizing on it.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.187
Threshold uncertainty score0.996

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)0.0010.000

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 head0.008
GPT teacher head0.156
Teacher spread0.149 · 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 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

Citations0
Published2017
Admission routes1
Has abstractyes

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