MétaCan
Menu
Back to cohort
Record W3034347524 · doi:10.4314/jsdlp.v10i1.6

Separating the wheat from the chaff: Delimiting public policy influence on the arbitrability of disputes in Africa

2019· article· en· W3034347524 on OpenAlexaff
Akinwumi Ogunranti

Bibliographic record

VenueJournal of Sustainable Development Law and Policy (The) · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsDalhousie University
Fundersnot available
KeywordsArbitrationEnforcementPublic policyPublic interestLegislaturePolitical sciencePublic administrationLaw

Abstract

fetched live from OpenAlex

This article focuses on the arbitrability of disputes. It examines the recent global trend of delimiting the role of public policy in determining matters that should be subject to arbitration. The evaluation shows that the application of doctrines of separability and kompetenz-kompentenz plays a vital role in the delimitation process. However, notwithstanding the global trend to restrict the role of public policy in determining arbitrability, some countries in Africa still widely interpret public policy to revoke arbitral clause, stay arbitral proceedings, or refuse enforcement of foreign arbitral awards. They justify this approach on the basis that public policy is a means to protect national economic interest against foreign manipulation or exploitation. Anchored on Morgan’s theoretical approach, this article criticizes the excessive role of public policy in determining the arbitrability of disputes in Africa. It calls for a change to reflect the global trend through judicial activism and legislative reform. Although protecting national economic interest is an important goal, restricting matters that are arbitrable will not promote foreign investment. Therefore, countries in Africa must fashion arbitration practices that reflect their socio-economic background as well as contemporary arbitral trends around the world.Keywords: Arbitration; Africa; Party Autonomy; Public Policy

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)0.002
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 score0.895
Threshold uncertainty score0.897

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.017
GPT teacher head0.235
Teacher spread0.218 · 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

Citations1
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Sustainable Development Law and Policy (The)Same topicInternational Arbitration and Investment LawFrench-language works237,207