Associated Problems of Decaying Art of Clay Modelling in Krishnanagar Town of Nadia District, West Bengal, India- A Baseline Study
Bibliographic record
Abstract
Handicrafts – a labour intensive industry in India is one of the most creative and elegant industries that earn a substantial earning for a large number of artists throughout the country. The West Bengal State is renowned all over the world for its handicraft industry. Clay idol making is one such unique handicraft industry and art of Krishnangar Town – the head quarter of Nadia District in West Bengal, India. However, at present this very old traditional art introduced by Raja Krishna Chandra Ray in the locality some 200 years ago is in its decaying stage. The artists of clay modelling in Krishnangar town reside at Ghurni area or Putul Patti in Ward no. 2 at the extreme north-west corner of the town. Only a very few families are still engaged in this profession at present since this industry is facing a stiff competition with other materials like glass fibre and the profit margins from this profession is steadily declining. The young generation is not very inclined to sustain this family tradition since this profession is no longer very remunerative. Under this backdrop the present study has tried to assess the current status of the decaying form of this art and to assess the different economic and health challenges of the workers associated with this job. This study intends to assess the current status of clay idol industry in the town and to suggest some fruitful measures to revive the glory of this unique art and heritage. The paper has chiefly relied on primary survey data carried out at household level covering almost all clay idol making artist families at Ghurni locality of Krishnanagar town. The major problems associated with this art as opined by the artists and the economic and health crisis that the workers are facing at recent times are discussed in this paper.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".