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Record W4323846688 · doi:10.5539/ass.v19n2p59

Female Figures in Chinese Qing Dynasty Armor Art

2023· article· en· W4323846688 on OpenAlexvenueno aff
Wenxi Wu, Xinhou Wang

Bibliographic record

VenueAsian Social Science · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsnot available
Fundersnot available
KeywordsFeudalismChinaPatriarchyFolkloreClothingHistoryHierarchyZhàngNobilityAncient historyArtLiteratureLawSociologyGender studiesPolitical scienceArchaeology

Abstract

fetched live from OpenAlex

In ancient China, traditional costumes have an important function of marking the identity of the noble and commoner status hierarchy. Before modern times, the shape, fabric, and color of folk women's clothing were not clearly defined, but they were subject to folklore and had many taboos. The wives of ministers or members of royalty were expected to comport themselves according to their husbands' official status and were forbidden from breaking any restrictions. But in the visual archives of the last feudal dynasty of ancient China, we have astonishing discoveries about the new image of Chinese women in the Qing Dynasty — Artworks of Qing Dynasty women in armor, their historical background, and artistic qualities bring us a lot of unprecedented inspiration and reflection. Based on the textual research on the hierarchical system of armor in the Qing Dynasty, combined with the background of national culture, this paper analyzes that the appearance of the image of female armor in the Qing Dynasty is a politicized performance of the ruling class, and its essence is still the projection of the aesthetic interest of feudal patriarchy.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.068
Threshold uncertainty score0.135

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0060.003
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.000

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 head0.288
Teacher spread0.255 · 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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