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Record W1977880587 · doi:10.1093/jicj/mqm081

Fatal Errors: The Trial and Appeal Judgments in the Dujail Case

2008· article· en· W1977880587 on OpenAlexaff
N. Bhuta

Bibliographic record

VenueJournal of International Criminal Justice · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsTribunalAppealVerdictLawConsistency (knowledge bases)Political scienceCriminal lawFair trialHuman rightsComputer science

Abstract

fetched live from OpenAlex

This commentary reviews the written judgments of both the First Trial Chamber and the Appeals Chamber of the Iraqi High Tribunal (IHT) in the Dujail case. The article considers the key substantive and procedural findings by the Trial Chamber and Appeals Chamber and evaluates the decisions’ consistency with international criminal law. It concludes that the decisions made serious errors in their application of international criminal law principles governing the knowledge and intent of the defendants, and also in respect of findings of fact concerning the knowledge and intent of the defendants. These errors appear closely connected to the failure of the investigative judge and prosecution to present evidence which was essential to establish knowledge and intent in the manner required by international criminal law. The article concludes that many aspects of the convictions were unsustainable as a matter of fact and law. It ends by reflecting on some of the factors which contributed to the failure of the IHT to produce a credible verdict.

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)0.045
metaresearch head score (Gemma)0.156
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: Empirical
Teacher disagreement score0.045
Threshold uncertainty score0.239

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0450.156
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0200.017
Scholarly communication0.0160.005
Open science0.0040.009
Research integrity0.0200.020
Insufficient payload (model declined to judge)0.0030.001

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 head0.077
GPT teacher head0.360
Teacher spread0.284 · 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

Citations4
Published2008
Admission routes1
Has abstractyes

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