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Record W3159767126 · doi:10.56370/jhlg.v2i1.2

Critical Study Of TFA WTO (World Trade Organization): Analysis Of The Implementation Of International Trade Policies In Indonesia

2021· article· en· W3159767126 on OpenAlexfundno aff
Deden Rafi Syafiq Rabbani

Bibliographic record

VenueJurnal Hukum Lex Generalis · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsnot available
FundersGlobal Affairs Canada
KeywordsInternational tradeDiscretionTrade facilitationNormativeInternational economicsTechnical barriers to tradeBusinessTrade barrierCommercial policyEconomicsPolitical scienceLaw

Abstract

fetched live from OpenAlex

The WTO Trade Facilitation Agreement (TFA) is a significant step forward for the international trade regime, representing a new hope for WTO relevance. TFA is the first multilateral agreement since the establishment of the WTO and includes new measures to help developing countries build capacity, as well as considering regulatory issues from WTO members. TFA needs to be interpreted appropriately, a combination of capacity building measures, to be the focus of technology improvement and policy applications, including the policies of each country needed to conduct foreign trade traffic control. TFA is assessed to reduce cross-border trade costs and increase trade for developing countries and allow WTO members to better control trade flows, through a combination of procedural downsizing and regulatory discretion. Through the qualitative normative analysis method, this paper examines legal theories and principles and rules related to international trade law. The author analyzes problems related to the course of trade facilitation agreements within the WTO framework as well as with its implementation in Indonesia. Thus, it is concluded that: First, the implementation of international trade policy in Indonesia based on the presence of TFA, has an important and significant impact on international trade traffic, especially concerning WTO members including Indonesia. Second, the normative regulation of TFA in Indonesia has been regulated in several legal products both laws and presidential regulations, so that the implementation of the presence of TFA affects the control of foreign trade policy and import exports.

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 score0.070
Threshold uncertainty score0.404

Codex and Gemma teacher scores by category

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

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 head0.046
GPT teacher head0.287
Teacher spread0.240 · 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

Citations3
Published2021
Admission routes1
Has abstractyes

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