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Record W4414318958 · doi:10.1093/ahr/rhaf369

Jian Chen. <i>Zhou Enlai: A Life</i>.

2025· article· de· W4414318958 on OpenAlexaff
Timothy Cheek

Bibliographic record

VenueThe American Historical Review · 2025
Typearticle
Languagede
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
Keywordsnot available

Abstract

fetched live from OpenAlex

Zhou Enlai was probably the most important leader in the Chinese Communist Party (CCP) after Mao Zedong, his ill-fated successor, Liu Shaoqi, and his ultimate surviving leader, Deng Xiaoping. Together they formed the CCP and the new People’s Republic of China, founded by the party in 1949. Yet assessing Zhou’s life has been clouded not only by the secrecy that characterizes the lives of top Chinese party leaders but also by the enduring tension in Zhou’s life: Was he the “Grey Eminence” and “Duke of Zhou” so warmly remembered by survivors of the tumultuous Cultural Revolution for protecting many cadres and intellectuals, or was Zhou a tragic enabler of Mao Zedong’s tyranny who failed to stand up to the nation’s leader, who had become a vicious bully? Chen Jian’s biography faces this question squarely and gives the historian’s answer: It’s not so simple, Zhou was both. The seven hundred pages of text and a hundred pages of notes and appendixes explain why; it is a highly readable narrative account that walks the reader through the major stages of China’s modern revolutionary history and the growth and changes of the CCP from the 1920s until Zhou’s death in early 1976.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.029
Threshold uncertainty score0.097

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0290.006

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 head0.024
GPT teacher head0.311
Teacher spread0.287 · 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 designNot applicable
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 abstractno

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