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Record W2038069467 · doi:10.1163/157181210x492252

Armless Giants: Cooperation, State Responsibility and Suggestions for the ICC Review Conference

2010· article· en· W2038069467 on OpenAlexaff
Alexis Demirdjian

Bibliographic record

VenueInternational Criminal Law Review · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsCanadian Bar Association
Fundersnot available
KeywordsStatuteLawPolitical scienceCrimes against humanityState (computer science)Economic JusticeStatute of limitationsCriminal courtHumanityInternational courtWar crimeInternational lawPublic international lawComputer science

Abstract

fetched live from OpenAlex

Abstract International criminal courts and tribunals regularly face difficulties in obtaining cooperation from States, a stumbling block that hinders the process of bringing criminals to justice and trying them before a court of law. In doing so, States can be held accountable under the rules of state responsibility. This possibility was raised in key decisions and scholarly texts on the issue. This paper seeks to expand the discussion on the matter and analyze the responsibility of States for their failure to cooperate with international courts. Additionally, this paper suggests amendments to the ICC Rome Statute to strengthen the judicial assistance regime, considering that this court is designed to become the permanent court dealing with war crimes and crimes against humanity and that a review of the Statute is to take place in May or June 2010.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.944
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.053
GPT teacher head0.392
Teacher spread0.338 · 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.

Study designTheoretical or conceptual
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

Citations5
Published2010
Admission routes1
Has abstractyes

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