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Record W4361224499 · doi:10.5539/ass.v19n2p94

Technological Innovations of French Jacquard Silk Weaving in the 19th Century

2023· article· en· W4361224499 on OpenAlexvenueno aff
Lu Jialiang, Feng Zhao, Liqing Zhang

Bibliographic record

VenueAsian Social Science · 2023
Typearticle
Languageen
FieldMaterials Science
TopicSilk-based biomaterials and applications
Canadian institutionsnot available
Fundersnot available
KeywordsWeavingLOOMSILKEngineeringArchitectural engineeringMechanical engineeringTelecommunications

Abstract

fetched live from OpenAlex

The emergence of the jacquard loom in the early 19th century was one of the most important mechanical inventions among the technological innovations of the French silk weaving industry. Since then, France continuously optimized and improve jacquard loom, resulting in many technological changes. Based on the technical principle of different types of jacquard looms in France in the 19th century, and by referring to literature and conducting field visits to France and other places, our study systematically analyzed and summarized the technological changes of jacquard in French silk weaving in the 19th century. These changes mainly included the modification of crochet shape, direction and thickness of placement, the change of the shape and material of pattern card, the size and arrangement of its holes, and the addition of harness cord and shaft monture, so as to promote the continuous, rapid and steady progress of the whole silk weaving industry.

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)0.001
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 score0.021
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0000.001
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 head0.022
GPT teacher head0.293
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 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
Published2023
Admission routes1
Has abstractyes

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