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Record W2943402706 · doi:10.1017/9781108525343.035

Complementarity between the International Criminal Law Section and Human Rights Mechanisms in Africa

2019· book-chapter· en· W2943402706 on OpenAlexaff
Pacifique Manirakiza

Bibliographic record

VenueCambridge University Press eBooks · 2019
Typebook-chapter
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsComplementarity (molecular biology)Section (typography)Human rightsPolitical scienceCriminal lawLawLaw and economicsEconomicsBusiness

Abstract

fetched live from OpenAlex

The Malabo Protocol adopted by the African Union Member States envisages the creation of an International Criminal Law Section tasked with the investigation and prosecution of core international crimes, along with crimes of African international law, with the future African Court of Justice and Human Rights. This chapter explores the relationship between the Criminal Section and the existing human rights mechanisms in Africa, as well as its potential contribution to the protection of human and peoples’ rights on the continent. In fact, the chapter argues that the new African Criminal Court (ACC) should be embedded within the broader system of human rights protection in Africa. Therefore, the chapter sheds some light on legal issues at the intersection of human rights and international criminal law in the African context. It concludes by putting forward the theory of mutual reinforcement between different entities for a better strengthening of the African human rights system.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.009
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.013
Scholarly communication0.0080.007
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0090.001

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.

Opus teacher head0.049
GPT teacher head0.255
Teacher spread0.206 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2019
Admission routes1
Has abstractyes

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