Access to Justice Mechanisms for Individuals and Groups under the African Regional Human Rights System: An Appraisal
Bibliographic record
Abstract
Under the African regional human rights system, relevant legal instruments confer substantive human and peoples’ rights on African individuals and groups. There are also some justice mechanisms (judicial and quasi-judicial) for their enforcement at the regional level when local remedies fail or are non-existent. However, due to factors like political influence and the nature of some provisions of some of the instruments, access to the mechanisms and, therefore, to justice, eludes most individuals and groups. This article, inter alia , examines the extent of access guaranteed individuals and groups to the mechanisms available at the African regional level for enforcing their rights against violator African states. It discusses different impediments to this access and the consequent injustice. It suggests reforms, such as amendment of the access-impeding provisions of the relevant instruments.
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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 | 0.026 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.007 | 0.004 |
| Science and technology studies | 0.005 | 0.017 |
| Scholarly communication | 0.012 | 0.012 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.007 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 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".