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Record W2010997893 · doi:10.3109/09638288.2010.506240

When East meets Wests: community-based rehabilitation in Chinese communities

2010· review· en· W2010997893 on OpenAlexaff
Eva Yin-han Chung, Tanya Packer, Matthew Yau

Bibliographic record

VenueDisability and Rehabilitation · 2010
Typereview
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMainland ChinaIdeologyChinaContext (archaeology)Chinese philosophySociologyAutonomyCommunity-based rehabilitationChinese culturePsychologyRehabilitationPolitical scienceGeographyPoliticsLaw

Abstract

fetched live from OpenAlex

PURPOSE: Community-based rehabilitation (CBR) has been practiced in mainland China for over three decades. This study reviews the development of CBR and describes its practice in Chinese communities in order to discuss current controversies within CBR practice internationally and in the Chinese context. METHOD: Review of literature. Development of CBR, its principles and controversies internationally and in the Eastern world is reviewed. CBR practice in Chinese communities is examined. RESULTS: Shifting ideology and practices mean many different activities are labelled CBR. Variation across contexts has led to many controversies, specifically: the lack of evidence to support practice; ownership of programs; conceptual differences surrounding autonomy and participation and cultural issues. Contemporary Chinese cultural values and Chinese CBR are shaped by traditional peasant culture, traditional Chinese philosophy and socialist ideology. CONCLUSION: The review indicates that Western CBR concepts and philosophy cannot be directly applied to the Chinese context. An appropriate model or framework is needed to fit the unique Chinese cultural context and to guide practice in Chinese communities.

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)0.011
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.909
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0010.007
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 head0.138
GPT teacher head0.509
Teacher spread0.371 · 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
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

Citations23
Published2010
Admission routes1
Has abstractyes

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