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Record W4407043237 · doi:10.5539/ass.v21n1p48

Images and Historical Facts: A Study of Cross-cultural Textiles in Chen Juzhong's Painting Wen Ji Gui Han Tu

2025· article· en· W4407043237 on OpenAlexvenueno aff
Feng Zhao, Siyu Wu

Bibliographic record

VenueAsian Social Science · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsnot available
Fundersnot available
KeywordsPaintingClothingArtVisual artsTextileChenIslamArt historyHistoryArchaeology

Abstract

fetched live from OpenAlex

This article explores the cross-cultural textiles depicted in Chen Juzhong's (陳居中) painting Wen Ji Gui Han Tu (文姬歸漢圖), which is housed in the National Palace Museum, Taipei. By comparing cross-cultural textile representations with historical records, artifacts, and other contemporary images, this study demonstrates that their forms and features align with historical facts from the Song and Jin dynasties. The article further analyzes the origins and evolution of cross-cultural textile styles depicted in the image, noting that the robes worn by attendants and women were influenced by Islamic tiraz fabrics, while the golden robes and decorative motifs evolved within Mongolian clothing traditions. This supports the idea of multicultural exchanges during the Song and Jin dynasties. Finally, the article suggests that the rich information and metaphors embedded in the textiles imply that Wen Ji Gui Han Tu can be interpreted as a form of "espionage painting."

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)0.002
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 score0.012
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.006
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.051
GPT teacher head0.327
Teacher spread0.275 · 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
Published2025
Admission routes1
Has abstractyes

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