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Record W4225396489 · doi:10.1017/jch.2022.3

Land Reform in The Southern Yunnan Muslim Community: Growing Divergence Beneath The Socialist Rhetoric of Unity, 1949–1958

2022· article· en· W4225396489 on OpenAlexafffund
Xian Wang

Bibliographic record

VenueJournal of Chinese History · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicChinese history and philosophy
Canadian institutionsUniversity of British Columbia
FundersLingnan UniversityYunnan UniversityKillam TrustsUniversity of Cambridge
KeywordsIdeologyPoliticsChinaPolitical scienceCommunismRhetoricFrontierEthnic groupPolitical economyDivergence (linguistics)SociologyLaw

Abstract

fetched live from OpenAlex

Abstract As one of the most influential CCP campaigns that dramatically transformed the Chinese pre-revolutionary society, the early 1950s land reform has not been fully explored in the case of China's ethnic periphery. This article sheds light on the CCP's land reform and its impact on China's ethnic frontier by examining the official policies, implementation, and the reactions of the southern Muslim community in Yunnan between 1949 and 1958. Drawing on county government work team reports and the Party's land reform policy and evaluation records, it argues that although southern Yunnan Muslims were able to selectively internalize some Communist secular ideologies to cope with social and political changes that land reform brought about, the inconsistency between the Party's freedom of religion policy on paper and its local implementation failed to mitigate the ideological discord between Maoist revolutionaries’ atheist worldview and Muslim villagers’ religiosity. This jeopardized the possibility of reconciliation between the class-struggle-focused radical state and the community life of its religious subjects.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.799
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0020.000
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 head0.044
GPT teacher head0.283
Teacher spread0.238 · 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 teacher head, not a consensus.

Study designQualitative
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

Citations1
Published2022
Admission routes2
Has abstractyes

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