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Record W2967712745 · doi:10.1163/17087384-12340032

A Proposal for the Effective Implementation of the Protective Mandate of the African Commission on Human and Peoples’ Rights

2018· article· en· W2967712745 on OpenAlexvenueno aff
Allwell Uwazuruike

Bibliographic record

VenueAfrican Journal of Legal Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicHuman Rights and Development
Canadian institutionsnot available
Fundersnot available
KeywordsMandateCommissionHuman rightsPolitical scienceLawCharterInternational human rights lawPromotion (chess)Law and economicsPublic administrationSociologyPolitics

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.444
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.034
GPT teacher head0.376
Teacher spread0.342 · 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 teacher head, not a consensus.

Study designQualitative
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

Citations1
Published2018
Admission routes1
Has abstractyes

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