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Record W2773746566 · doi:10.1163/22143955-00402001

Religion, Resistance, and Contentious Politics in China (中国的宗教、抵抗与抗争政治)

2017· article· en· W2773746566 on OpenAlexaff
André Laliberté

Bibliographic record

VenueReview of Religion and Chinese Society · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsChinaPersecutionPoliticsResistance (ecology)Subject (documents)CommunismTheme (computing)Relevance (law)BuddhismContentious politicsPolitical scienceState (computer science)SociologyLawHistorySocial movement

Abstract

fetched live from OpenAlex

In this essay, I present the concepts of religious resistance and contentious politics, in which religions represent a source of inspiration, before moving to the issue of how these concepts apply to China. I note that there is little literature on this particular subject, which is always politically sensitive. As the Communist Party of China has increasingly recognized the relevance of religion in contemporary society, it has tried to keep it in check and thereby ensure that independent associations with a religious background will not become involved in contentious politics. This article then briefly introduces the four case studies in this special issue on the theme of religion and contentious politics in China: two cases of persecution of Christians and Catholics during the period of Mao, and two articles about Buddhism, which has a more complex relationship with the state. 本文首先阐述了宗教抵抗与抗争政治的概念—其中宗教发挥了启发鼓舞的作用而后将之用于分析中国经验。由于政治敏感性,有关此议题的文献很少。因为逐渐意识到宗教在当代社会中的重要性,中国共产党试图管控宗教防止具有宗教背景的独立团体参与抗争政治。本文最后介绍本期中有关中国宗教与抗争政治的四篇个案研究:两篇文章讨论毛泽东时期对基督徒和天主教徒的压迫,另外两篇是关于佛教及其与国家的复杂关系。

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Review · Consensus signal: none
Teacher disagreement score0.321
Threshold uncertainty score0.783

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.341
Teacher spread0.330 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations2
Published2017
Admission routes1
Has abstractyes

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