A Proposal for the Effective Implementation of the Protective Mandate of the African Commission on Human and Peoples’ Rights
Bibliographic record
Abstract
Abstract The African Charter on Human and Peoples’ Rights ushered in an era of human rights promotion and protection at the regional level. However, the African Commission, created for this purpose, continues to face challenges especially with regard to the protection of human rights. This article critically examines one of the core obstacles to the effective operation of the Commission’s protective mandate – the binding nature of its recommendations – and formulates a proposal for bypassing that obstacle. It argues for the strengthening of the Commission’s protective mandate through a distinct and unambivalent adoption of the Commission’s rulings as official decisions of the AU Assembly backed by the concomitant full sanctioning power of the latter. Such adoption, it is argued, must go beyond the current near ceremonious practice whereby the Assembly receives and ‘adopts’ the Commission’s Activity Reports and focus on the recommendations themselves. Adopting this new system, it is argued, will strengthen and add meaning to the Commission’s protective mandate and further project the status of human rights across the continent.
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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 | 0.155 | 0.156 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.010 | 0.032 |
| Scholarly communication | 0.017 | 0.013 |
| Open science | 0.005 | 0.012 |
| Research integrity | 0.039 | 0.025 |
| Insufficient payload (model declined to judge) | 0.004 | 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".