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Record W2168742531 · doi:10.1177/026975800901600202

The International Criminal Court Statute and the Failure to Mention Symbolic Reparation

2009· article· en· W2168742531 on OpenAlexaff
Frédéric Megret

Bibliographic record

VenueInternational Review of Victimology · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsMcGill University
Fundersnot available
KeywordsLawHuman rightsStatuteThe SymbolicContext (archaeology)Political scienceCompensation (psychology)Economic JusticeRepetition (rhetorical device)SociologyInstitutionPsychologySocial psychology

Abstract

fetched live from OpenAlex

The International Criminal Court (ICC)'s reparations regime seems very geared towards material reparation such as restitution, compensation and rehabilitation. However, a growing number of international instruments, particularly in the human rights field, anticipate that more symbolic forms of reparation such as satisfaction and non-repetition are mandatory. The article explores what reasons may have led the ICC drafters to not at least mention symbolic reparation and finds that, apart from a possible trend towards commodification of reparation in general, the perception was probably that only states can grant symbolic reparation, and that ordering individuals to do so might raise human rights problems. None of these arguments are conclusive. Individuals can provide symbolic reparation, and this could be encouraged rather than ordered to avoid the human rights issue. More importantly, the role of the ICC and the Victims Trust Fund will be to use money as reparation, and nothing will prevent them from using awards so made for symbolic purposes. In fact, strong principle and policy arguments militate in favor of granting a larger role to symbolic reparation in the ICC context, thus helping to make the Court into more of an institution of transitional justice.

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 categoriesnone
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 score0.885
Threshold uncertainty score0.387

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.012
GPT teacher head0.355
Teacher spread0.343 · 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 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

Citations26
Published2009
Admission routes1
Has abstractyes

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