Bibliographic record
Abstract
Kashmir has long been famous for its skilled craftsmen who brilliantly perform intricate wood and stone carvings and create beautiful textiles. Bright, thin and at the same time warm, Kashmiri shawls are a desirable element of attire not only in India, but all over the world. Kashmiri Namda felt carpets are considered now as outstanding textile masterpieces; they occupy a special place in the world's museums and private collections. This study examines rare embroidered Namda felt carpets created in Kashmir in the late 19th and first quarter of the 20th century. In August-September 1916, in Kashmir, the spouses Alexander Mikhailovich and Lyudmila Aleksandrovna Meerwarth purchased a variety of wood and papier-mâché products, jewelry, fabrics, embroidery, as well as Namda felt carpets. The collecting work took place as part of a scientific expedition to Ceylon and India (1914–1918), organized by the Museum of Anthropology and Ethnography (MAE). This collection is kept today in the MAE RAS (MAE No. 3018). Kashmiri Namda felt carpets purchased by A. M. and L. A. Meerwarth, are compared with modern carpet products of this type. The art of Namda has been passed down by the families of makers from generation to generation. However, by the beginning of the 2000s Namda production declined as artisans and their families stopped practicing this craft. Currently, the authorities of Kashmir have recognized the traditional production of Namda felt carpets as a cultural heritage, therefore, projects aimed at training and supporting young carpet weavers are being actively developed and implemented.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.004 |
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".