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Record W2766467728 · doi:10.1080/13648470.2017.1326796

Holy local system: religious treatment of mental sickness in rural China

2017· article· en· W2766467728 on OpenAlexfundno aff
Honge Zheng, Yingying Pei

Bibliographic record

VenueAnthropology and Medicine · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsnot available
FundersAustralian Agency for International DevelopmentInternational Development Research Centre
KeywordsChinaChristianityNarrativeReligious conversionSociologyRural areaMedicinePsychologyGender studiesPolitical scienceHistoryLawPhilosophy

Abstract

fetched live from OpenAlex

Kleinman pioneered the use of intensive case studies in China and elsewhere. Drawing on this approach, this paper shows how two rural Chinese converts to Christianity recovered from prolonged mental sickness incurred during the Cultural Revolution many years earlier. The apparent 'cure' is part of local narrative in which rural Chinese Christians' first contact with Christianity has the pragmatic aim of seeking treatment to relieve physical pain, but leads to conversion and believed divine deliverance from psychological as well as physical suffering. In acquiring what they regard as new moral life and becoming dignified 'divine selves', they adopt new language and behavior and subtly change their relationships with family and the local power structure, thereby establishing a 'holy local system' that is regarded as able to withstand external crises and temporary setbacks. Setting up the holy local system highlights the inadequacy of rural bio-medical assistance, provides treatment for sickness and pain often blamed on Chinese society's relentless pursuit of economic development, and so introduces some compensatory if illusory rural stability.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.210
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.008
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 head0.027
GPT teacher head0.400
Teacher spread0.373 · 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 designObservational
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

Citations0
Published2017
Admission routes1
Has abstractyes

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