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Record W2167400266 · doi:10.5539/ach.v3n2p2

Discussion on Scientificaion of Acupuncture in Hong Kong in 1950s: with special reference to Zhu Lian’s The New Acupuncture

2011· article· en· W2167400266 on OpenAlexvenueno aff
Ka‐wai Fan

Bibliographic record

VenueAsian Culture and History · 2011
Typearticle
Languageen
FieldMedicine
TopicAcupuncture Treatment Research Studies
Canadian institutionsnot available
FundersCity University of Hong Kong
KeywordsAcupunctureMainland ChinaAlternative medicineContext (archaeology)ChinaTraditional Chinese medicineChina mainlandTraditional medicineWestern medicineMedicinePsychologySociologyPolitical scienceLawHistoryPathology

Abstract

fetched live from OpenAlex

Influential in shaping the practice of Chinese medicine, acupuncture is an ancient form of healing based on theories of traditional medicine. The clashes between western science and traditional knowledge have ushered Chinese medicine into a new era, so has acupuncture. The major challenges facing researchers are whether it is feasible to scientificize acupuncture and how to do so if feasible. Causing unprecedented responses at home and abroad, the publication of The New Acupuncture (Xin zhenjiu xue????) by Zhu Lian (1909-1987) in 1951 dramatized the already heated discussion. This medical treatise was considered as the pioneer in scientification of acupuncture in mainland China since 1949. The purpose of this paper is to (1) put Zhu Lian’s The New Acupuncture and its relevant discussions back into the historical context of Chinese medicine in mainland China and Hong Kong in the 1950s, and (2) analyze the arguments set forth by her and other practitioners so as to get a clearer picture of how the issue on scientificizing acupuncture was being dealt with.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.987
Threshold uncertainty score0.302

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0130.020
Scholarly communication0.0050.004
Open science0.0010.003
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0020.000

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 head0.042
GPT teacher head0.269
Teacher spread0.226 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designQualitative
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

Citations1
Published2011
Admission routes1
Has abstractyes

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