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Record W2529931836 · doi:10.1177/0008429816659351

Managing Religious Diversity in China

2016· article· en· W2529931836 on OpenAlexaffvenue
André Laliberté

Bibliographic record

VenueStudies in Religion/Sciences Religieuses · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsChinaCommunismPoliticsState (computer science)BuddhismDiversity (politics)Political sciencePeople's RepublicContext (archaeology)Political economySociologyPublic administrationLawGeography

Abstract

fetched live from OpenAlex

In this essay I argue that despite the scope of change in the realms of military, security, economic, and social policies, as well as changes in the legal sphere, the path dependency left by the institutions of the previous imperial and republican regimes has influenced the current arrangements for the regulation of religion by the state in China. This state of affairs has less to do with something specific to Chinese culture and more to do with the particular institutional context of the People’s Republic of China (PRC). In the first section of this paper, I consider the influence of previous regimes’ institutions that is still felt in the current regulatory mechanisms for the control of religion. Then, in the second section, I explore the current approach to religious affairs, drawing attention to its quadripartite dimensions: political, legal, administrative, and managerial. In a third section I examine the nature of the challenges faced by the Communist Party of China, the legal and state apparatus of the PRC, and the religious institutions. The discussion uses evidence from fieldwork that I have undertaken over the space of ten years on the philanthropic activities of Buddhist institutions in China. I conclude by discussing the political obstacles that stand in the way of implementing a secular state in China that is genuinely pluralist and supportive of religious diversity.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.353
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.003
Scholarly communication0.0000.001
Open science0.0010.001
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 head0.078
GPT teacher head0.405
Teacher spread0.327 · 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 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

Citations10
Published2016
Admission routes2
Has abstractyes

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