Bishnupur Gharana Musical Journey - A Retrospective Study Of The Intangible Heritage
Bibliographic record
Abstract
The Eastern Regional Center of Anthropological Survey of India has conducted a study on Bishnupur to document its cultural heritage.Bishnupur , a historical town , located in the district of Bankura, western West Bengal, lies in the south of the Dhaleshwari river .It has been the capital of the Hindu Mallabhum King, which has its long history ranging back since 8 th century AD.The Mallabhum dynesty was once the most important Hindu dynasty in Bengal.Historians suggest that ' Mallabhum' had once been the cultural center of Eastern India.Among its cultural achievement , music had the highest applause.It has been observed that with the evolving trend, in the cases of presentation style of vocal music followed by string instrument practice especially sitar playing and presentation of raga-raginis of the musicians of present generation are quite different from that of the ancestral musicians of this gharana, which are largely unknown to mankind due to lack of knowledge and publicity.Therefore , in order to find some answer to the inquisitiveness of the music lovers and researchers, there is a need to revitalize and reorganize the history of the musical practice of Bishnupur gharana considering its immense importance as a cultural heritage.Musical forms act as repositories of cultural memory, holding stories, languages, and rituals in their melodies and rhythms.Folk songs pass down historical narratives, while religious chants preserve spiritual traditions.Music thus ensures the continuity of culture across generations.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".