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Record W4206750397 · doi:10.5539/ass.v18n1p1

Research on the Production Technology and Inheritance Status of Southern Zhejiang Clamp-Resist Dyeing

2021· article· en· W4206750397 on OpenAlexvenueno aff
Yilin Wei, Kehui Deng, Zeyang Peng

Bibliographic record

VenueAsian Social Science · 2021
Typearticle
Languageen
FieldEngineering
TopicDyeing and Modifying Textile Fibers
Canadian institutionsnot available
FundersFundamental Research Funds for the Central Universities
KeywordsQuiltDyeingInheritance (genetic algorithm)Intangible cultural heritageResistChinaHandicraftCultural heritageEngineeringVisual artsGeographyArtArchaeology

Abstract

fetched live from OpenAlex

As a national intangible cultural heritage of China, the southern Zhejiang Clamp-resist dyeing is a kind of blue quilt manufacturing technology used by ancient folk people. This kind of folk homescloths has its own unique folk aesthetic form, and its patterns are mostly monochrome square symmetrical baizi figures, opera figures and auspicious patterns. In the local customs of Zhejiang province, this kind of quilt is often used as a dowry for women when they get married (Zhang, 2010). In this paper, the author made an in-depth investigation and research on the technical details and inheritance of the southern Zhejiang Clamp-resist dyeing.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.038
GPT teacher head0.307
Teacher spread0.269 · 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 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

Citations5
Published2021
Admission routes1
Has abstractyes

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