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Record W2528714706 · doi:10.1089/acu.2016.1199

The Search for International Consensus on Auricular Acupuncture Nomenclature

2016· article· en· W2528714706 on OpenAlexaff
Terry Oleson

Bibliographic record

VenueMedical Acupuncture · 2016
Typearticle
Languageen
FieldMedicine
TopicAcupuncture Treatment Research Studies
Canadian institutions123 Certification (Canada)
Fundersnot available
KeywordsAcupunctureMedicineNomenclatureAlternative medicinePathologyTaxonomy (biology)

Abstract

fetched live from OpenAlex

The World Health Organization (WHO) has held multiple international meetings to establish a standardized nomenclature for body acupuncture, but a global consensus for auricular acupuncture nomenclature has not yet been fully accepted. An international symposium on auriculotherapy that will meet in Singapore in 2017 will strive to finalize a standardized auricular nomenclature. A series of meetings sponsored by the WHO led to a standard nomenclature for body acupuncture points. This system consisted of an alphanumeric code, the Pinyin Chinese phonetic name, and the Han character for each acupuncture point, and the English translation of the Chinese names for acupuncture meridians. A two-letter rather than a one-letter abbreviation was adopted for each meridian. A 1990 international meeting held in Lyon, France, also sponsored by the WHO, was not able to arrive at a collective consensus regarding differences in the ear acupuncture maps used by acupuncturists from Asia in contrast to the somatotopic system developed by European doctors. The importance of facilitating an international nomenclature standard for the purposes of research, teaching, and clinical findings for the field of auriculotherapy remains a high priority.

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)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.919
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.345
Teacher spread0.325 · 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
GenreCommentary

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
Published2016
Admission routes1
Has abstractyes

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