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Record W3081576927 · doi:10.5539/ass.v16n9p21

Textual Research on Henna Art Introduced into Ancient China Through the Silk Road

2020· article· en· W3081576927 on OpenAlexvenueno aff
Xue Yang, Yu Liu

Bibliographic record

VenueAsian Social Science · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
Topicmelanin and skin pigmentation
Canadian institutionsnot available
FundersNational Social Science Fund of China
KeywordsChinaPopularityPeriod (music)Ancient historyChinese artHistory of ChinaArtHistoryArchaeologyAestheticsLawPolitical science

Abstract

fetched live from OpenAlex

Since ancient Egypt, henna has been widely used as dyes for women’s henna body art. Through the Silk Road, China assimilated cultures of its Western Regions, India, and Persia, such as the henna art. In Ancient China the "garden balsam" is always called "henna". Nevertheless, they belong to two different kinds of flowers. Folks’ mixed use of these two kinds of flower names reflects the profound impact of the henna art on Chinese traditional culture of decorative nails. This textual research results revealed that in ancient China the customs of dye red nails are affected by foreign henna art and there were three development stages: the introduction period (from the Western Jin Dynasty to the Tang Dynasty), the development period (in the Song-Yuan Dynasty) and the popularity period (in the Ming-Qing Dynasty).

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)0.003
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 score0.040
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0030.003
Scholarly communication0.0010.002
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.037
GPT teacher head0.363
Teacher spread0.326 · 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

Citations1
Published2020
Admission routes1
Has abstractyes

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