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Record W2327869344 · doi:10.1177/0920203x12466206

The growth of a Taiwanese Buddhist association in China: Soft power and institutional learning

2013· article· en· W2327869344 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueChina Information · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsChinaBuddhismGovernment (linguistics)Power (physics)Public administrationPolitical scienceDevelopment economicsSociologyEconomicsLawTheology

Abstract

fetched live from OpenAlex

This article looks at Ciji (Tzu Chi), a Taiwanese Buddhist charity which has been active in China since 1991. Ciji’s presence in China is all the more remarkable in view of outbreaks of crises in relations across the Taiwan Strait as well as the religious nature of the organization. The article first addresses the issue of Taiwan’s soft power in its relations with China and suggests the possibility that Ciji’s activities in Taiwan have shown China the benefits of a liberal policy towards religion in that charitable activities carried out by religious organizations complement the government’s social policies. The second section chronicles Ciji’s presence in China since 1991 and shows that local governments have their own reasons for welcoming Ciji’s volunteers. The third section compares and contrasts state approaches in China and Taiwan with respect to the provision of social services by religious organizations and notes that even if local governments in China are learning about the benefits of a more open policy in their dealings with Ciji, the central government has not adopted the liberal approach of the Taiwanese government in the regulation of religion.

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.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.651
Threshold uncertainty score0.601

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 studies0.0010.000
Scholarly communication0.0000.002
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 head0.003
GPT teacher head0.234
Teacher spread0.231 · 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