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Record W2127024096 · doi:10.1016/s1013-7025(09)70017-x

Neo-Confucianism and Physiotherapy: The Mind-Body-Spirit Connection

2001· article· en· W2127024096 on OpenAlexaff
Elizabeth Dean

Bibliographic record

VenueHong Kong Physiotherapy Journal · 2001
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsUniversity of British Columbia
FundersDivision of Graduate Education
KeywordsTaoismMedicineHealth careDominance (genetics)ChinaChinese philosophyAlternative medicineContext (archaeology)Integrative medicineBuddhismNursingLawPolitical sciencePhilosophyHistory

Abstract

fetched live from OpenAlex

This article examines the influence of traditional Chinese philosophy, in particular Neo-Confucianism, on our understanding of health, ill health and health care; and its role in contemporary physiotherapy practice in Hong Kong and China. Neo-Confucianism, a blend of Taoism and Buddhism with traditional Confucianism, has been a principal influence on the beliefs, attitudes and values of the Chinese people for 2,000 years. These philosophies are discussed in the context of the dominance and limitations of Western-based health care practice; the implications for Eastern-based health care practices; the contemporary definition of health by the World Health Organization; and health care trends and reform in Hong Kong. The practice of physiotherapy in Hong Kong provides a template for merging Eastern and Western philosophies in health care. Merging these philosophies reinforces the mind-body-spirit connection as a basis for understanding health and health care needs, and addresses the limitations of either philosophy individually in contemporary health care. Further, merging Eastern and Western philosophies provides a framework for the global advancement and development of physiotherapy practice, professional education and research.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.668
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.055
GPT teacher head0.468
Teacher spread0.413 · 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

Citations6
Published2001
Admission routes1
Has abstractyes

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