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Record W2150281877 · doi:10.3138/gsp.4.3.329

Should President Omar al-Bashir of Sudan Be Charged and Arrested by the International Criminal Court?

2009· article· en· W2150281877 on OpenAlexvenueno aff
Alex de Waal, Gregory H. Stanton

Bibliographic record

VenueGenocide Studies and Prevention · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Peace and Security Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsCriminal courtGenocideLawPolitical scienceCriminologyPsychologyInternational law

Abstract

fetched live from OpenAlex

The recent activity at the International Criminal Court (ICC) at The Hague concerning the case of President Omar al-Bashir and the crisis in Darfur has set off a firestorm of commentary amongst international lawyers, human rights activists, genocide scholars, experts on Sudan, and journalists, among others. Some argue that the ICC prosecutor, Luis Moreno-Ocampo, was correct in charging al-Bashir with genocide and crimes against humanity; others believe that he had little to no grounds for doing so. Furthermore, while some see the prosecutor's charges of genocide as questionable, at best, and highly counterproductive, if not dangerous, at worst, others see the genocide charge as positive and a move toward ending impunity for genocide. The same is largely true of the arrest warrant that the ICC has issued for President al-Bashir's arrest. Dr. Alex de Waal, an Oxford-trained social anthropologist, a fellow of the Global Equity Initiative at Harvard University, and the director of Justice Africa in London; and Dr. Gregory H. Stanton, a Yale University-educated lawyer and University of Chicago-trained cultural anthropologist, professor of Genocide Studies and Prevention at George Mason University, president of Genocide Watch, and immediate past president of the International Association of Genocide Scholars, kindly accepted GSP editor Samuel Totten's invitation to debate the merits and demerits of the prosecutor's charges and the ICC's issuance of the warrant.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.327
Threshold uncertainty score0.276

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 studies0.0000.000
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 head0.059
GPT teacher head0.374
Teacher spread0.314 · 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 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

Citations4
Published2009
Admission routes1
Has abstractyes

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