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Record W4400660410 · doi:10.1111/pafo.12257

Benefits of North Korea's Membership in the New York and <scp>ICSID</scp> Conventions

2024· article· en· W4400660410 on OpenAlexaff
WooJung Jon, Tae Jung Park, A. Singh

Bibliographic record

VenuePacific Focus · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsKootenay Association for Science & Technology
FundersMinistry of Science and ICT, South KoreaNational Research Foundation of KoreaInha UniversityNational Research Foundation
KeywordsTribunalConventionEnforcementAccessionLawExpropriationPolitical scienceState (computer science)BusinessCredibilityForeign direct investmentInternational trade

Abstract

fetched live from OpenAlex

This article contends that North Korea should accede to the New York Convention and the ICSID Convention to provide more robust legal protections and dispute settlement mechanisms for foreign investors. While North Korea has enacted various domestic laws and established special economic zones to attract foreign investment, these measures have proved insufficient to fully assuage investor concerns, particularly regarding the enforcement of arbitral awards and protections against expropriation. Joining the New York Convention would mitigate uncertainties surrounding the enforcement of foreign arbitral awards by obligating North Korean courts to recognize and enforce such awards, subject only to limited, internationally accepted grounds for refusal. Accession to the ICSID Convention would enable aggrieved foreign investors to bring claims against North Korea before a neutral, depoliticized arbitral tribunal, providing an additional layer of protection against discriminatory or expropriatory state conduct. Membership in these conventions would significantly enhance North Korea's credibility in the eyes of foreign investors, demonstrating a commitment to upholding the rule of law and aligning its investment framework with global norms. While accession alone is not a panacea, it represents a crucial step toward building investor confidence, facilitating greater FDI inflows, and fostering North Korea's economic development and international engagement.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.853
Threshold uncertainty score0.270

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)0.0000.000

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 head0.028
GPT teacher head0.222
Teacher spread0.194 · 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 designTheoretical or conceptual
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
Published2024
Admission routes1
Has abstractyes

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