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Record W2918797927

Keikutsertaan Kanada dalam Perjanjian Trans-Pacific Partnership: Sebuah Analisis Liberal Intergovernmentalism

2018· article· ms· W2918797927 on OpenAlexaboutno aff
Rachmadea Aisyah

Bibliographic record

VenueTransformasi Global · 2018
Typearticle
Languagems
FieldSocial Sciences
TopicGlobal Political and Economic Relations
Canadian institutionsnot available
Fundersnot available
KeywordsIntergovernmentalismPolitical scienceGeneral partnershipNegotiationRatificationGovernment (linguistics)Public administrationLawPolitical economySociologyInternational tradePoliticsEconomicsMember statesEuropean union
DOInot available

Abstract

fetched live from OpenAlex

In October 2012, Canada became one of the members of the Trans-Pacific Partnership (TPP) agreement negotiation, a blueprint of the largest free trade agreement in history that covers 12 Asia-Pacific countries and 40 percent of the world economy. This agreement was then signed by Canada and 11 other member countries in February 2016. Canada once rejected the invitation to join this agreement when it was still called TPSEP in 2005, but instead became observer and expressed its interest to join several years later. Canada’s wish to join was met by rejection from some of the TPP members, as well as from their own domestic social groups. After the signing, the rejection increased and Canadians considered that their government had failed to carry on their interests during the negotiation. Therefore, Canada’s approval on TPP despite disagreements from many groups was something peculiar. In this article, the author would look into this phenomenon through liberal intergovernmentalism, an international relations theory developed by Andrew Moravcsik focusing in regionalism. The first part of the article will discuss the methods of liberal integovernmentalism theory, whereas the second and third part will discuss the result of the analysis and the conclusion from this article.  Keywords: TPP, Liberal Intergovernmentalism, Canada, preference

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.806
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.019
GPT teacher head0.291
Teacher spread0.272 · 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; both teacher heads agree on what is shown here.

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

Citations1
Published2018
Admission routes1
Has abstractyes

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