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Zhou Zuoren (周作人) (1885–1967)

2018· book-chapter· en· W4321515177 on OpenAlexaff
Yan Tang

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldSocial Sciences
TopicChinese history and philosophy
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsPoetryHumanismLiteraturePoliticsChinaDemocracyVernacularPrisonHistoryEconomic JusticeArtPhilosophyLawPolitical science

Abstract

fetched live from OpenAlex

A writer and critic in the New Culture Movement (新文化运动), Zhou Zuoren was one of the most prominent literary figures in the early twentieth century in China. He advocated ‘humanist literature’ (人的文学), arguing that literature should break away from conventions and render true human nature. Zhou was among the first who used vernacular Mandarin (白话) to write poetry and prose. His poems, such as 小河 (A Little River) and 路上所见 (A Scene on the Road), were widely praised by Zhu Ziqing (朱自清) and Hu Shi (胡适). Zhou also firmly believed in democracy; he supported individual freedom and social justice, sparing no effort to critique Chinese feudalistic systems and backward superstitions in the 1910s. After the New Culture Movement ended, he left the forefront of political activities. Between 1928 and 1938, he published rather pacifistic essays such as 闭户读书论 , 哑巴礼赞, and 麻醉礼赞. The political controversy around his agreement to work for a pro-Japanese government in the 1930s caused him several years of prison life (Yan 2009, 2649–50; Daruvala 2000, 4). He returned to Beijing after being released in 1949, and died in 1967 during the Cultural Revolution.

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.017
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0090.002

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 head0.046
GPT teacher head0.285
Teacher spread0.239 · 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
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

Citations0
Published2018
Admission routes1
Has abstractyes

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