Reconfiguring Dástán Tradition as a Commemorative Narrative of Power Structures, Charismatic Leadership, and Sainthood in North India
Bibliographic record
Abstract
This study will relocate the connection between the Dástán tradition, the Muslim Sufi tradition, and the chain of transmission of knowledge existent in the pre-colonial and the pre-partition religio-political domains in North India. It will investigate the workings of Persian, Turco-Mongolian, and Indian cultural values converging in the oral and the textual tradition of Dástán. It will also investigate the connection between communal memory, traditional forms of oral discourse, and its transcription and expression in Dástán. This analysis of Dástán tradition is different from previous studies as they primarily focused on its oral history, the shift from Persian to Urdu and South Asian settings, and the transcription and printing of Dástán in the eighteenth and nineteenth centuries. This study will analyze Dástán through the spectacle of the transcultural tradition, the shifting social paradigms, and the power domains that preceded, coexisted with, and followed the Dástán tradition. It will reinterpret the meaning of the story of Amir Hamza within those shifting paradigms, which reflected the transition from an era of the Muslim domination (or Muslim Imperialism) to British Imperialism and colonial India. The study will explain how the storytellers in Dástán import various themes and structural devices from the wider cultural complex of the Islamic world; they also indigenized and transformed those foreign cultural themes and values according to the popular Muslim sensibility in the urban quarters of north Indian. This article will resolve some historiographical issues using the data as well as arguments from South Asian history, transcultural values, and literatures from the diverse cultural compost of the Islamic world.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.016 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".