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Record W4406883037 · doi:10.62754/joe.v4i1.6084

Creative Applicability of Dunhuang Floral Tiles in Architectural Modern Interior Decoration

2025· article· en· W4406883037 on OpenAlexfundno aff
Du Yanda, Prathabiai Suwanthada

Bibliographic record

VenueJournal of Ecohumanism · 2025
Typearticle
Languageen
FieldComputer Science
TopicDigital Media and Visual Art
Canadian institutionsnot available
FundersMahasarakham UniversityQueen's University BelfastQueen's UniversityNorthwestern University
KeywordsArchitectural engineeringInterior designVisual artsEngineeringArt

Abstract

fetched live from OpenAlex

Dunhuang art encompasses a variety of art forms. The production of interior furnishings in conjunction with Dunhuang floral tile art through moulding, painting, or carving methods was designed. Local artists' participants were interviewed and observed while recording data using a camera, video, and group discussion. There are 419 architectural models and mural replicas at the Dunhuang murals, which are ongoing at the Mogao caves’ grottoes in Gansu province. Temples of Dunhuang: Buddhist Art on China’s Silk Road, Dunhuang floral tiles with patterns are unique in shape, novel in conception, rigorous in structure, vivid in the image, and numerous in number and variety as a form of art for demonstrating their intrinsic, deep historical origins and cultural Chinese Buddhist culture. Dunhuang cave art is closely related to Buddhism. Chinese classical religious architecture protects relevant cultural relics, and the creative applicability of Dunhuang floral tiles in modern architectural interior decoration is significant.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.014
GPT teacher head0.296
Teacher spread0.282 · 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
Published2025
Admission routes1
Has abstractyes

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