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Record W6911721809 · doi:10.5281/zenodo.12580711

Kalamkari - an Insignia of Andhra Pradesh's Artistic Legacy

2024· article· en· W6911721809 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicCrafts, Textile, and Design
Canadian institutionsnot available
Fundersnot available
KeywordsCraftCasualEleganceClothingStyle (visual arts)Quarter (Canadian coin)PortugueseKingdom

Abstract

fetched live from OpenAlex

India has a long history of rich cultural traditions, the oldest and most prominent of which is perhaps the hand-spun and hand-woven textile industry. The history of Indian textiles dates back more than three millennia. Kalamkari is a revered and timeless style of traditional Indian art. Kalamkari is an exquisite gem amongst Andhra Pradesh's cultural treasures. The celestial craftsmanship has made the art popular worldwide and people explore the elegance of kalamkari. The Mughals and Persians called the craft ‘Kalamkari’, the Portuguese called it ‘Pintadoes’, the British called them ‘Chintz’, and locally known as ‘vraata pani’. The Kalamkari scrolls were also referred to as ‘pat chitra’. Irrespective of what it was called it was popular in the textile industry circles because of its practice in both print and paint techniques. It was not until the Mughals subdued the Vijayanagar Kingdom in the early 16th century that the western and Deccan styles came together. The temple cloth evolved into a standard for casual attire due to its comfort, strength, durability, jewel-bright colours, and exquisitely patterned and painted designs. This transformation of Kalamkari facilitated its advancement as a prospective sustainable textile craft.

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: none
Teacher disagreement score0.014
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0110.004
Scholarly communication0.0050.003
Open science0.0010.006
Research integrity0.0010.006
Insufficient payload (model declined to judge)0.0140.004

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.

Opus teacher head0.067
GPT teacher head0.255
Teacher spread0.188 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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