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Record W4297231997 · doi:10.1093/clp/cuac002

The Perils of Progressive Jurisprudence: The <i>Nullum Crimen Sine Lege</i> Principle in International Criminal Law

2022· article· en· W4297231997 on OpenAlexaff
Payam Akhavan

Bibliographic record

VenueCurrent Legal Problems · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsLawPrinciple of legalityCriminalizationJurisprudenceCriminal lawPolitical scienceInternational lawContext (archaeology)ExpansiveCriminologySociologyHistoryPhysics

Abstract

fetched live from OpenAlex

Abstract The nullum crimen sine lege principle is a fundamental principle of human rights, prohibiting both retroactive application of crimes as well as expansive interpretations and extensions by analogy. Yet throughout its historical evolution, from the emergence of novel crimes in the Charters of the International Military Tribunals at Nuremberg and Tokyo, to the expansive interpretations of such crimes by contemporary jurisdictions such as the ICTY, ICTR and ICC, international criminal law has been characterized by a privileging of substantive justice over the principle of legality. From filling normative lacunae to evolutionary adaptation of existing norms, the humanitarian interests underlying the criminalization of atrocities is often invoked to justify progressive jurisprudence. The paper considers whether this sensibility is a cause for celebration or a cause for concern, and whether the nullum crimen sine lege principle should be applied less strictly in the context of international criminal law.

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)0.022
metaresearch head score (Gemma)0.023
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: Other · Consensus signal: Other
Teacher disagreement score0.022
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0060.103
Scholarly communication0.0130.010
Open science0.0020.007
Research integrity0.0070.013
Insufficient payload (model declined to judge)0.0030.000

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 head0.029
GPT teacher head0.351
Teacher spread0.322 · 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
GenreOther

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
Published2022
Admission routes1
Has abstractyes

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