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Record W7041133173

Rendering Justice

2023· article· en· W7041133173 on OpenAlexaboutno aff

Bibliographic record

VenueBryant Digital Repository (Bryant University) · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicEurasian Exchange Networks
Canadian institutionsnot available
Fundersnot available
KeywordsWar crimeTribunalNazismNuremberg trialsGenocideWorld War IIEconomic JusticeRepatriationInternational law
DOInot available

Abstract

fetched live from OpenAlex

German and Japanese crimes committed during World War II became objects of criminal prosecution by Allied courts after the war. The best known of these trials was an international tribunal held at Nuremberg in 1945–1946. By the late spring 1945, Anglo–American predilection for summary execution of the “major” war criminals had yielded to a commitment to prosecute them. The trial at Nuremberg was among the first of numerous proceedings against Nazi war criminals throughout Europe. The Allied powers responded to atrocities in the war’s Asian-Pacific sphere with an array of post-conflict prosecutions. The long shadow of European courts obscures their Asian counterparts. Yet, Australia, Britain, Canada, Communist and Nationalist China, France, India, The Netherlands, New Zealand, the Philippines, the Soviet Union, and the United States convened or contributed to hundreds of courts and brought thousands of war criminals to justice between 1945 and 1951. This enormous legal endeavor navigated complex logistical, geopolitical, and cultural obstacles. Despite allegations against both European and Pacific trials of victors’ justice and ex post facto prosecution, the Allies created new bodies of international law that live on today in ad hoc tribunals and the International Criminal Court.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: none
Teacher disagreement score0.721
Threshold uncertainty score0.866

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.028
GPT teacher head0.248
Teacher spread0.220 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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