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Record W2044511085 · doi:10.3138/utlj.1117-1

AUTHORITY TO PROSCRIBE AND PUNISH INTERNATIONAL CRIMES

2013· article· en· W2044511085 on OpenAlexvenueno aff
Guyora Binder

Bibliographic record

VenueUniversity of Toronto Law Journal · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsLegitimacyJurisdictionDignityPunishment (psychology)LawCriminal lawPolitical scienceInternational lawCriminal jurisdictionRule of lawLaw and economicsSociologyPsychologySocial psychology

Abstract

fetched live from OpenAlex

Although criminal jurisdiction is usually exercised by governments, offences can also be proscribed by international law, and punishment can be imposed by international tribunals. This article critically examines the legitimacy of such exercises of international criminal jurisdiction. It reasons that criminal law can plausibly be justified as a cooperative institution that achieves the public good of a rule of law, with its attendant benefits of social peace and equal dignity of persons. It then argues that such a beneficial rule of law requires a punishing authority with the executive capacity to protect those it claims to regulate. It would follow that criminal prohibitions may not be justifiable if they cannot be enforced systematically. Because the international legal system generally lacks the executive capacity required for a rule of law, the article suggests that international criminal punishment is justifiable as supportive of a rule of law only in rare circumstances. Finally, the article considers whether an alternative expressive rationale can, nevertheless, justify occasional prosecutions as useful in legitimizing international humanitarian norms. It questions whether the expressive benefits of such prosecutions can outweigh the expressive risks of promising protection the international legal system cannot deliver.

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)0.005
metaresearch head score (Gemma)0.011
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: none
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.018
Scholarly communication0.0070.003
Open science0.0010.005
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0070.001

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 head0.011
GPT teacher head0.249
Teacher spread0.238 · 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

Citations2
Published2013
Admission routes1
Has abstractyes

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Same venueUniversity of Toronto Law JournalSame topicInternational Law and Human RightsFrench-language works237,207