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Record W2765888172

Illicit Exploitation of Natural Resources - Art. 28L Bis of the Malabo Protocol

2017· article· de· W2765888172 on OpenAlexaff
James Stewart, Daniëlla Dam

Bibliographic record

VenueeYLS (Yale Law School) · 2017
Typearticle
Languagede
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPolitical scienceJurisdictionMandateLawTreatyNatural resourcePrinciple of legalityHuman rightsGenocidePersonal jurisdictionCriminologySociology
DOInot available

Abstract

fetched live from OpenAlex

Article 28A(1)(13) of the Protocol to the Statute of the African Court of Justice and Human Rights lists ‘Illicit exploitation of natural resources’ as a criminal offense within the Court’s jurisdiction. In conjunction with the new mandate of the African Court, which includes the exercise of jurisdiction over corporations for the first time in an international treaty, the prohibition of “illicit exploitation of natural resources” creates an offense with especially sharp teeth, for business people, their corporations, military actors and politicians. The crime constitutes an important innovation in international law, since it offers a distinct legal basis for prosecution of a wider array of acts covered by the war crime of pillage. Nonetheless, it also comes with a set of major limitations, not the least of which is its great vagueness. This chapter offers a critical doctrinal overview of the seven sub-offenses that fall within the wider banner of this new crime of Illicit Exploitation, simultaneously pointing to a range of interpretative possibilities that might accord with recent thinking about the relationship between law and resource predation.

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)0.011
metaresearch head score (Gemma)0.021
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: Empirical · Consensus signal: none
Teacher disagreement score0.042
Threshold uncertainty score0.141

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0060.005
Scholarly communication0.0060.004
Open science0.0030.005
Research integrity0.0100.008
Insufficient payload (model declined to judge)0.0420.022

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 head0.020
GPT teacher head0.300
Teacher spread0.280 · 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
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
Published2017
Admission routes1
Has abstractyes

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