A New International Human Rights Court for West Africa: The ECOWAS Community Court of Justice
Bibliographic record
Abstract
The Community Court of Justice of the Economic Community of West African States (ECOWAS Court) is an increasingly active and bold adjudicator of human rights. Since acquiring jurisdiction over human rights complaints in 2005, theECOWASCourt has issued numerous decisions condemning human rights violations by the member states of the Economic Community of West African States (Community). Among this Court’s path-breaking cases are judgments against Niger for condoning modern forms of slavery and against Nigeria for impeding the right to free basic education for all children. TheECOWASCourt also has broad access and standing rules that permit individuals and nongovernmental organizations (NGOs) to bypass national courts and file suits directly with the Court. Although the Court is generally careful in the proof that it requires of complainants and in the remedies that it demands of governments, it has not shied away from politically courageous decisions, such as rulings against the Gambia for the torture of journalists and against Nigeria for failing to regulate multinational companies that have degraded the environment of the oil-rich Niger Delta.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.018 | 0.010 |
| Scholarly communication | 0.019 | 0.013 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.028 | 0.034 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".