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Record W2746348856 · doi:10.3968/9673

Study on Craft Culture and Features of Shandong Lu Brocade of China

2017· article· en· W2746348856 on OpenAlexvenueno aff
Dahai Wang

Bibliographic record

VenueCross-cultural communication · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicCrafts, Textile, and Design
Canadian institutionsnot available
Fundersnot available
KeywordsWeavingCraftChinaDyeingPublicityTextileBusinessEngineeringVisual artsArtHistoryMarketingMechanical engineeringArchaeologyMaterials scienceComposite material

Abstract

fetched live from OpenAlex

China is one of the nations producing manual textiles at the earliest. With a history of a thousand years in southwest area of Shandong in China, Lu brocade is mainly distributed in Jining, Heze and other areas. As a kind of folk manual cotton textile in Shandong, Lu brocade takes cotton as main raw material, and adopts manual spinning, manually dyeing, and manual weaving, achieving colorful cloth, just like brocade and embroidery. This is why it is called Lu Brocade. The reason for Lu brocade to be passed on from generation to generation concerns a lot of the folk marriage of Shandong area. There are eight parts in its main process: spinning, dyeing thread, starching thread, wrapping, healding, crossing column, spindling, and weaving. Each process is divided into several sub-processes. Technically it can be mainly categorized into jersey technique, jacquard technique, tuck stitch technique, incision-making technique and package flower technique. For Lu brocade, jersey is the basic technique and jacquard is the core technique. Lu Brocade has distinct local specialty and practical value. Currently intangible cultural heritage protection is widely concerned, we should develop market, plan package, and conduct publicity and marketing for Lu Brocade, so as to promote the industrialized operation of the splendid traditional culture. Practice of several decades proves that the R&D and promotion of Lu Brocade products have affected the quality of Chinese manual textiles and people’s life in a positive manner.

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)0.000
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 score0.881
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
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 head0.052
GPT teacher head0.344
Teacher spread0.292 · 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
Published2017
Admission routes1
Has abstractyes

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