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Record W1960829761

한ㆍ미 FTA 농업부문에 관한 연구

2009· article· ko· W1960829761 on OpenAlexaboutno aff
김종락, 이주섭

Bibliographic record

Venue통상정보연구 · 2009
Typearticle
Languageko
FieldAgricultural and Biological Sciences
TopicAgriculture, Soil, Plant Science
Canadian institutionsnot available
Fundersnot available
KeywordsInternational tradeRatificationFree tradeLiberalizationProtectionismTrade agreementMarket accessRules of originCompetition (biology)Intellectual propertyNegotiationGovernment (linguistics)International economicsInvestment (military)Free trade agreementBusinessEconomicsPolitical scienceAgricultureGeographyPoliticsLawMarket economy
DOInot available

Abstract

fetched live from OpenAlex

FTA is acting as a central axis to accomplish the worldwide trade liberalization as FTA has been globally spreading with competition. As the global economic depression and the trend of new protectionism are getting grave, and the trade liberalization of GATT and WTO is getting delayed, FTA is spread as an alternative. FTA is often called as RTA: Regional Trade Agreement(regional free trade agreement) which takes place mainly around the neighbor nations or regular districts, and these days, it is tending towards agreements between long distant nations, so, it’s not limited to the regular districts. Among the FTA agreement items, in addition to the customs abolition, the opening and investment liberalization of service market like finance, communication etc., intellectual property rights are included in the government’s target range. Korea also is actively proceeding FTA conclusion. Korean government has concluded the agreements with Singapore, european nations beginning from Chile concluded in 2003, and is proceeding more the negotiations with Japan, Canada, Mexico, India etc. Now in 2009, FTA of Korea-United States is actually waiting for just the passage of assembly ratification. But, if FTA becomes effective, because our domestic market should be entirely opened, it is expected that the blow against our domestic agricultural field which is weak, compared with that of the United States, a nation of worldwide agricultural products, is not an ordinary one According to it, we need a whole plan to cope with, so, the purpose of this study is to suggest the strategy by comparing and analysing the Korean agricultural competitive power, and to find the other development stratagem.

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 categoriesInsufficient 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: Empirical
Teacher disagreement score0.802
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.003

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 head0.016
GPT teacher head0.212
Teacher spread0.196 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

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