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Record W4416192351 · doi:10.70267/icsscs.202503

Escaping War Crime Reflections of WWII: Japan’s Postwar Narratives through the Lens of Imperial Preservation, Remnants of Militarism, and Education

2025· article· W4416192351 on OpenAlexaff
Q. Chen

Bibliographic record

VenueExploring Science Academic Conference Series · 2025
Typearticle
Language
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsUniversity of British Columbia
FundersNanjing University
KeywordsHistoriographyNarrativeMilitarismIdeologyLegitimacyFoundation (evidence)

Abstract

fetched live from OpenAlex

This article presents systematic research regarding the factors that led to Japan’s evasion of war crime after WWII. There are three major factors behind such evasion: the preservation of the imperial system, which provided legitimacy and a symbolic foundation for right-wing forces; the revival of militarist ideology and elites under the conditions of the Cold War; and the education system of Japan, which shaped the country’s “victim identity”. The combination has portrayed Japan’s victimhood while hindering its aggression and war crime responsibility. By analyzing these factors through historiographical review and the professional concepts of memory studies, this research article demonstrates how Japan’s selective remembrance became institutionalized in Japanese society and politics.

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)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0110.014
Scholarly communication0.0070.007
Open science0.0010.006
Research integrity0.0020.003
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 head0.096
GPT teacher head0.358
Teacher spread0.263 · 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 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
Published2025
Admission routes1
Has abstractyes

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