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Record W3113894820 · doi:10.1163/17087384-12340071

Twenty Years of Triumph, Trial and Tribulation: Reflections on the Mechanism of the African Commission’s Special Rapporteur on the Rights of Women in Africa

2020· article· en· W3113894820 on OpenAlexvenueno aff
Kennedy Kariseb

Bibliographic record

VenueAfrican Journal of Legal Studies · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicHuman Rights and Development
Canadian institutionsnot available
Fundersnot available
KeywordsCommissionGrassrootsPolitical scienceMandateMechanism (biology)International lawHuman rightsGeneral assemblyLawPolitics

Abstract

fetched live from OpenAlex

Abstract On the occasion of its 25th Ordinary Session held in Bujumbura, Burundi, from 26 April to 5 May 1999, the African Commission adopted resolution ACHPR/res.38 ( XXV ) 99 on the appointment of a Special Rapporteur on the Rights of Women in Africa ( SRRWA ), retrospectively with the appointment taking effect from 31 October 1998. This means that the mechanism of the SRRWA is roughly making twenty years since its initial inception. Coming of age and time, the twenty years of existence of the mechanism of the SRRWA makes it not only one of the oldest (and perhaps most successful) mechanisms of the African Commission; but one that has been the subject of tremendous triumph, trial and tribulation. Over the past two decades, the mechanism has been a product of both progression and regression. By and large the mechanism of the SRRWA has played an appreciable role in the advancement of women’s rights on the African continent. This article aims at taking stock of the achievements and failures of the 20 years of the work of the SRRWA . Although taking pride in the achievements of the mechanism, this article argues for incremental reforms within the mechanism, including the refining of the terms of reference of the mandate; the need for closer cooperation with global and regional systems mechanisms, women at grassroots including women’s rights movements, and mutual support from civil society organisations.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.562
Threshold uncertainty score0.335

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.116
GPT teacher head0.326
Teacher spread0.210 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2020
Admission routes1
Has abstractyes

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