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Record W613467792

Yin and Yang: The Physical and the Symbolic in Chinese Medical Practices

2012· article· en· W613467792 on OpenAlexaffvenue
McBurney Ms, h Shilo

Bibliographic record

VenueTotem · 2012
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsWestern University
Fundersnot available
KeywordsPhysical cultureComprehensionChinese cultureTraditional Chinese medicineHealth careSociologyPsychologyEpistemologyAlternative medicineMedicineChinaLawLinguisticsPolitical sciencePathologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Studying health practices within various present and past cultures is a valuable area of research, in part because they mark a point where the physical and the symbolic meet. Health practices serve a functional role by caring for the physical body, but they can also display various beliefs within cultures. In researching the multiple healing methods of a culture, it is important to question what values these practices have and what beliefs they represent for the culture, along with studying what physical needs they fulfill. How does the comprehension of medicine within a culture show the thought processes of people? This paper focuses on Chinese medicine, which is currently comprised of traditional techniques as well as modern medical care. By examining how the Chinese health system has changed over time, through diffusion from other cultures and self-growth, the shifting values and beliefs within Chinese society become apparent.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.016
Scholarly communication0.0020.003
Open science0.0000.003
Research integrity0.0010.001
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 head0.019
GPT teacher head0.365
Teacher spread0.346 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2012
Admission routes2
Has abstractyes

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