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MARKETING CHALLENGES IN INDIAN TRADITIONAL HANDICRAFTS AND AESTHETIC VALUE

2025· article· en· W4413237917 on OpenAlexaff
V Pothigaimalai, V Pattammal, Smitha Geetha

Bibliographic record

Venuemyresearchgo · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicCrafts, Textile, and Design
Canadian institutionsWomen's College Hospital
Fundersnot available
KeywordsHandicraftMarketingValue (mathematics)BusinessAesthetic valueAestheticsArtVisual artsMathematics

Abstract

fetched live from OpenAlex

The handicrafts sector is important for the Indian economy as it is one of the largest employments generators and accounts for a significant share in the country's exports.The state and regional clusters contribute significantly to handicrafts export.The Indian handicrafts industry is fragmented, with more than seven million regional artisans and more than 67,000exporters/export houses promoting regional art and craftsmanship in the domestic and global markets.Handicrafts is one of the key export segments of Indian trade faced with several problems such as unorganized marketing and inadequate market information; inadequate support mechanism for product development; power interruptions and other infrastructural deficiencies inadequacy of raw material at appropriate prices; lack of mechanism for dispersal of technology or enhancing productivity; final finishing and lack of investment for fulfilling international requirements and a general poor image of the country as a supplier of quality goods with consistency.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.691
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.129
GPT teacher head0.281
Teacher spread0.152 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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
Published2025
Admission routes1
Has abstractyes

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