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Record W4293771065 · doi:10.1163/18781527-bja10054

Nuremberg’s Enduring Legacy to International Justice

2022· article· en· W4293771065 on OpenAlexaff
Ielbo Marcus Lobo de Souza

Bibliographic record

VenueJournal of International Humanitarian Legal Studies · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsImpunityInternational lawLawJurisdictionPolitical scienceWar crimeUniversal jurisdictionPublic international lawNuremberg trialsTribunalCrimes against humanityInternational humanitarian lawEconomic JusticeHuman rights

Abstract

fetched live from OpenAlex

Abstract The historic Nuremberg trial represented a first step toward an adequate response by the international society to grave crimes under international law committed by individuals in position of governmental authority. This article discusses three particular ways in which the Nuremberg trial has advanced international justice. From a normative perspective, it has helped crystallise the principle of individual criminal responsibility for crimes under international law. Furthermore, the Nuremberg tribunal’s extraordinary jurisdiction paved the way for domestic and international courts’ jurisdiction over crimes under international law, while instigating the evolution of relevant law concerning immunity from jurisdiction. Finally, in associating international crimes with the maintenance of international peace and security, it allowed the UN system of collective security to consider situations involving the commission of those crimes as a threat to international peace and security, preventing impunity and promoting the efficacy of international humanitarian 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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.936
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.049
GPT teacher head0.370
Teacher spread0.321 · 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 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

Citations5
Published2022
Admission routes1
Has abstractyes

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