Dispute Settlement Mechanisms in African Regional Economic Communities: Lessons and New Developments
Bibliographic record
Abstract
Abstract African regional trade agreements often provide for dispute settlement mechanisms and procedures that should be followed. They also establish judicial bodies or tribunals for the respective African Regional Economic Communities. Despite the existence of judicial bodies, African governments do not usually litigate against each other on trade-related disputes. However, the few cases adjudicated by the regional judicial bodies are insightful of how contemporary trade disputes shape the development of community law. With reference to case law, this article presents lessons from regional judicial bodies. Notwithstanding the lessons learnt, there are challenges too. In response to the challenges, new developments on the continent, adopted through the African Continental Free Trade Area signal a move towards respecting rules-based trade through ensuring legal predictability and certainty for trade dispute settlement. Thus, this article will also provide a detailed analysis of the dispute settlement mechanism under the African Continental Free Trade Area, a system akin to World Trade Organisation.
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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 | 0.013 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.005 | 0.018 |
| Scholarly communication | 0.010 | 0.014 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.005 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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.
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".