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A New International Human Rights Court for West Africa: The ECOWAS Community Court of Justice

2013· article· en· W3123068529 on OpenAlexaff
Karen J. Alter, Laurence R. Helfer, Jacqueline R. McAllister

Bibliographic record

VenueAmerican Journal of International Law · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicHuman Rights and Development
Canadian institutionsScience North
Fundersnot available
KeywordsJurisdictionHuman rightsLawTorturePolitical scienceEconomic JusticeInternational courtMultinational corporationEconomic communityOriginal jurisdictionInternational lawPublic international lawEconomicsEconomy

Abstract

fetched live from OpenAlex

The ECOWAS Community Court of Justice (ECCJ) is an increasingly active and bold international adjudicator of human rights violations in West Africa. Since acquiring jurisdiction over human rights issues in 2005, the ECCJ has issued several path-breaking judgments, including against the Gambia for the torture of journalists, against Niger for condoning modern forms of slavery, and against Nigeria for failing to regulate the multinational oil companies that polluted the Niger Delta. This article explains why ECOWAS member states authorized the ECCJ to review human rights suits by individuals but did not allow private actors to complain about violations of regional economic rules. In addition to explaining the ECCJ’s striking transformation, the article makes several other contributions. It illustrates how an existing international institution can be redeployed for new purposes; it highlights the contributions of civil society, supranational officials, and ECOWAS judges to expanding the Court’s mandate; it analyzes the ECCJ’s distinctive jurisdiction and access rules; and it shows how the ECCJ has survived challenges to its authority. Our analysis is based on original field research in Nigeria, including more than two-dozen interviews with judges, government officials, attorneys, and NGOs. We also draw upon the first-ever coding of all ECCJ decisions through 2010. The ECCJ’s transformation is also theoretically significant. The article’s final section and conclusion reassesses theories of regional integration, institutional change, and transnational legal mobilization in light of the ECCJ’s experience to demonstrate the implications of our findings for international institutions beyond West Africa.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.044
Threshold uncertainty score0.087

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.026
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0180.010
Scholarly communication0.0190.013
Open science0.0020.007
Research integrity0.0280.034
Insufficient payload (model declined to judge)0.0060.001

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 head0.032
GPT teacher head0.326
Teacher spread0.294 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations128
Published2013
Admission routes1
Has abstractyes

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