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Record W4402137352 · doi:10.6007/ijarbss/v14-i8/22408

Application and Commercial Value of Traditional Chinese Auspicious Patterns in Modern Jewellery Design

2024· article· en· W4402137352 on OpenAlexaff
Yao Hong, Hassan Alli, Nazlina Shaari

Bibliographic record

VenueInternational Journal of Academic Research in Business and Social Sciences · 2024
Typearticle
Languageen
FieldComputer Science
TopicDigital Media and Visual Art
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsValue (mathematics)EngineeringAestheticsHistoryArchitectural engineeringArtMathematicsStatistics

Abstract

fetched live from OpenAlex

This study explores the application of traditional Chinese auspicious patterns in modern jewellery design and their commercial value. Through literature review, image analysis and case studies, the study found that these auspicious patterns not only enrich the cultural connotation of modern jewellery design, but also give jewellery works unique value and market appeal. The beautiful meanings and traditional culture carried by auspicious patterns make jewellery works not only ornaments, but also carriers of culture and emotions. Research shows that, combined with modern design concepts, these traditional patterns can provide jewellery designers with rich creative inspiration, promote the innovation and diversification of modern jewellery design, and satisfy consumers' pursuit of personalization and cultural heritage. The study also found that this integration not only promotes the inheritance and innovation of traditional culture, but also enhances the market competitiveness and commercial value of jewellery brands, demonstrates the unique charm of Chinese culture, and promotes the diversified development of the jewellery market.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.622
Threshold uncertainty score0.196

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.178
GPT teacher head0.449
Teacher spread0.271 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2024
Admission routes1
Has abstractyes

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