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Record W4385191390 · doi:10.1097/mc9.0000000000000078

Nashville Qi? Chinese Medicine in an American Heartland

2023· article· en· W4385191390 on OpenAlexaff
Ruth Rogaski

Bibliographic record

VenueChinese Medicine and Culture · 2023
Typearticle
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsEmergent BioSolutions (Canada)
FundersU.S. National Library of Medicine
KeywordsFlourishingAlternative medicineTraditional medicineChinese americansTraditional Chinese medicineHistoryMedicineSociologyPsychologyAnthropologySocial psychology

Abstract

fetched live from OpenAlex

This article shares preliminary results from current research on Chinese medicine in Nashville, Tennessee, a city in the American South known both as "Music City, USA" and "The Buckle of the Bible Belt." The author has interviewed dozens of patients and practitioners in Nashville to understand how Chinese medicine came to the city, what styles of practice are present, and whether or not new understandings of Chinese medicine's fundamental concept of qi might emerge from the unique cultural setting of the American South. While Chinese medicine is flourishing in the city, because of complexities at the intersection of religion, science, and the experience of healing, the clinical encounter between patients and practitioners is not typically characterized by a mutual embrace of a language of qi.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.052
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.004
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.034
GPT teacher head0.391
Teacher spread0.357 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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