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Record W4318715574 · doi:10.1080/14754835.2022.2150518

The International Criminal Court at 25

2023· article· en· W4318715574 on OpenAlexaff
Michael Broache, Kate Cronin-Furman, David Mendeloff, Jacqueline R. McAllister

Bibliographic record

VenueJournal of Human Rights · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsCarleton University
Fundersnot available
KeywordsPolitical scienceCriminal courtCriminologyLawCriminal procedurePsychologyInternational law

Abstract

fetched live from OpenAlex

On July 17, 2023, the International Criminal Court (ICC) will mark the 25th anniversary of the adoption of the Rome Statute, its founding treaty. The Statute constituted a remarkable transfer of authority from sovereign states to an international institution: The ICC is the first permanent court charged with prosecuting individuals, including senior political and military leaders, for atrocity crimes. Per the Statute, the ICC was designed with the goals of ending impunity for these crimes, contributing to their prevention, and delivering justice to victims. To what extent has the ICC achieved these and other goals in the Rome Statute? The ICC’s upcoming anniversary provides an opportune moment to examine this question and take stock of the Court’s performance. This special issue of the Journal of Human Rights addresses this question from an empirical perspective, focusing on two themes: (1) the ICC’s relations with states, which critically condition its operations and impact, (2) the Court’s effectiveness in achieving the goals outlined in the Rome Statute, specifically ending impunity and mitigating violence.

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)0.003
metaresearch head score (Gemma)0.010
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: Commentary · Consensus signal: none
Teacher disagreement score0.097
Threshold uncertainty score0.193

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0150.005
Scholarly communication0.0150.004
Open science0.0020.006
Research integrity0.0090.009
Insufficient payload (model declined to judge)0.0370.009

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 head0.035
GPT teacher head0.347
Teacher spread0.312 · 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
GenreCommentary

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

Citations3
Published2023
Admission routes1
Has abstractyes

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