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Record W2010845099 · doi:10.2307/4127362

Inside Japanese Business: A Narrative History, 1960-2000.

2002· article· en· W2010845099 on OpenAlexaffvenue
David W. Edgington

Bibliographic record

VenuePacific Affairs · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNarrativeBusiness historyHistoryNarrative historyLiteratureArtEconomic history

Abstract

fetched live from OpenAlex

During the Pacific War the Japanese government recruited hundreds of thousands of workers for military construction projects throughout the occupied territories. Mistreatment of workers was widespread, and the number of deaths arising from beatings, malnutrition, and disease was enormous, rivaling the holocaust of Europe. The victims were primarily unskilled laborers drawn from cities and rural areas across Asia. Most were men, but many women and children also found their way to the work sites, and perished there. Because most victims were illiterate, and the Japanese destroyed nearly all records relating to labor recruitment, the story of their experiences has not been previously told. In this book, an international group of specialists on the Occupation period examine Japan's wartime labor needs, and the recruitment and use of workers (whether forced, military, or otherwise) throughout the Japanese empire. Based on documents drawn from archives throughout Asia and in the United States and the United Kingdom, their accounts are careful reconstructions of events based on fragmentary materials. The first study to look at Japanese labor policies comparatively across all the occupied territories of Asia during the war years, the book provides a graphic context for examining Japanese colonialism, and relations between Japan and the territories occupied by its military forces.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.825
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.002

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 head0.026
GPT teacher head0.231
Teacher spread0.206 · 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
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

Citations8
Published2002
Admission routes2
Has abstractyes

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