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Record W4387058142 · doi:10.5539/ilr.v12n1p107

Impact of International Arbitration Centers on Arab Arbitration Cases: A Comparative Study of the Negative Effects on Arab Dispute Resolution

2023· article· en· W4387058142 on OpenAlexvenueno aff
Azab Alaziz Alhashemi

Bibliographic record

VenueInternational Law Research · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsnot available
Fundersnot available
KeywordsArbitrationDispute resolutionPopularityInternational arbitrationCompulsory arbitrationPolitical scienceAlternative dispute resolutionDiversity (politics)Dispute mechanismCultural diversityLaw

Abstract

fetched live from OpenAlex

This study addresses the impact of international arbitration centers on traditional Arab dispute resolution methods, which are deeply rooted in cultural and religious values. Despite the growing popularity of arbitration centers worldwide, their effects on Arab societies remain inadequately explored. Through a comparative analysis of select Arab arbitration cases, the present study has examined the adverse consequences arising from international arbitration centers. Key factors contributing to these negative effects, including cultural and language barriers, as well as the financial costs associated with arbitration have been investigated. The research objectives encompass understanding the clash between international arbitration and traditional methods and proposing strategies for better integration and coexistence. Drawing on the findings, the present study offers practical recommendations to enhance the collaboration between international arbitration centers and local communities. The study underscored the importance of upholding cultural diversity and advocated for the preservation of community-specific dispute-resolution mechanisms. By shedding light on these complexities, this study has contributed to theoretical advancements and practical solutions for understanding the arbitration’s influence on Arab societies and promoting harmonious coalescence between global arbitration practices and traditional values.

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)0.001
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: Empirical
Teacher disagreement score0.924
Threshold uncertainty score0.748

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.086
GPT teacher head0.387
Teacher spread0.301 · 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
Published2023
Admission routes1
Has abstractyes

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