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Record W1976822810 · doi:10.1177/0097700410391964

The May Fourth Movement and Provincial Warlords: A Reexamination

2010· article· en· W1976822810 on OpenAlexaff
Zhongping Chen

Bibliographic record

VenueModern China · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicChinese history and philosophy
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsChinaPatriotismNationalismPoliticsPolitical scienceMovement (music)BeijingGovernment (linguistics)Nationalist MovementPolitical economyLawSociology

Abstract

fetched live from OpenAlex

This article reexamines the relationship between the May Fourth Movement and warlordism by questioning the long-held assumption that the movement was from its inception as anti-warlord as it was anti-imperialist. In particular, it shows that popular nationalism before and at the beginning of the May Fourth Movement received continual support from many provincial warlords under and beyond the nominal control of the Beijing government. It demonstrates how and why these provincial warlords endorsed the patriotism of the movement at the national and international levels, even as they suppressed radical protests in their political domains. This analysis uncovers the long-obscured fact that the May Fourth Movement succeeded with crucial support from such provincial warlords because of its broad nationalism and the disunity of warlord politics. This rediscovery also reveals how military involvement in the movement changed the trajectory of both warlord politics and anti-warlordism in modern China.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.233
Threshold uncertainty score0.464

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.011
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.013
GPT teacher head0.260
Teacher spread0.247 · 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

Citations11
Published2010
Admission routes1
Has abstractyes

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