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Record W4239539489 · doi:10.1017/cbo9781107294417

China's Civil War

2015· book· en· W4239539489 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCambridge University Press eBooks · 2015
Typebook
Languageen
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCommunismChinaSpanish Civil WarMemoirNationalismMainland ChinaPoliticsPolitical scienceEconomic historyPower (physics)Government (linguistics)HistoryPolitical economyLawSociology

Abstract

fetched live from OpenAlex

China's Civil War is the first book of its kind to offer a social history in English of the Civil War in 1945–9 that brought the Chinese Communist Party to power. Integrating history and memory, it surveys a period of intense upheaval and chaos to show how the Communist Party and its armies succeeded in overthrowing the Nationalist government to bring political and social revolution to China. Drawing from a collection of biographies, memoirs, illustrations and oral histories, Diana Lary gives a voice to those who experienced the war first-hand, exemplifying the direct effects of warfare - the separations and divisions, the exiles and losses, and the social upheaval that resulted from the conflict. Lary explores the long-term impact on Chinese societies on the Mainland, Taiwan and Hong Kong, which have all diverged far from pre-war Chinese society.

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.

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 categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.360
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.023
GPT teacher head0.227
Teacher spread0.204 · 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