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Record W4312428680 · doi:10.4000/temoigner.9404

A People’s Court: Emotion, Participant Experiences, and the Shaping of Postwar Justice at the International Military Tribunal for the Far East, 1946‑1948

2020· article· fr· W4312428680 on OpenAlexaffabout
James Burnham Sedgwick

Bibliographic record

VenueTémoigner. Entre Histoire et Mémoire · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsAcadia University
Fundersnot available
KeywordsTribunalHumanitiesEconomic JusticePolitical scienceLawWar crimeHistoryArtInternational law

Abstract

fetched live from OpenAlex

De façon similaire à Nuremberg, les principaux dirigeants politiques et militaires japonais ont été jugés à Tokyo pour des crimes qu'ils ont commis (ou fait commettre) pendant la guerre. L'International Military Tribunal for the Far East (IMTFE) a condamné à mort sept accusés et prononcé de longues peines d'emprisonnement pour la majorité des autres. James Burnham Sedgwick de l'Université de Wolfsville (Canada) laisse de côté, dans cet article, l'histoire de l'institution et examine le déroulement du procès du point de vue des participants.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.948
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0070.006
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.051
GPT teacher head0.282
Teacher spread0.231 · 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; both teacher heads agree on what is shown here.

Study designQualitative
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

Citations0
Published2020
Admission routes2
Has abstractyes

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