Bibliographic record
Abstract
There are thousands of works by Serizawa Keisuke and a thousand of his collections of folk crafts from around the world in Serizawa Keisuke Art and Craft Museum at Tohoku Fukushi University. He was designated as a Holder of an Important Intangible Cultural Property, or Living National Treasure, for his stencil dyeing technique in 1956. He was also a great collector of crafts that people from various ethnic groups or countries actually had used in their real life, ranging from African primitive arts such as wooden masks and doors and earthen vessels and figures to Incan and Asian textiles, ornaments, and folk arts and crafts.Japanese indigo-dyeing textiles are included in those collections. I've been doing research into kimono-shaped veil known as Katsugi (literally, lady's veils), which belongs to this group of Japanese costumes and cloth made by using indigo dyeing, techniques like tie-dyeing, stencil dyeing, tsutsugaki (paste resist indigo dyeing) and ikat. I started doing research on Katsugi because it has not been generally known or examined in details. Katsugi began to be used in ancient cities at the end of the Heian Period and gradually spread across Japan as a clothing custom. In its long-running development, we may say that the Katsugi customs were well-established especially at Edo and Kyoto.Our museum has collected Katsugi found in Yamagata Prefecture. But first of all, I would like to present the literete data of Edo and Kyoto, and analyze them in this article. In next paper, I am going to present the data of Katsugi in Yamagata and compare them to the customs in Edo and Kyoto.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.051 | 0.021 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".