Bibliographic record
Abstract
ihis paper will attempt to study the theme of faqir in the work Sual-ojccwab and in the South Asian religious traditions contemporary to it.The work Sual-o-jawab is a transcription in Persian of a series of interfaith dialogues that took place between Dara Shukoh1, the crown prince and son of Mughal emperor Shah Jahan, and a Hindu Yogi, Baba Lai Das.2A majority of scholars believe that this event took place in the year 1064 A.H./1653 C.E., in the city of Lahore.In the dialogue, Dara made a deliberate effort to learn about Hinduism from a Hindu Yogi, and in doing so set an example that cannot be found in Mughal history before or after him.Massignon has rightly pointed out that the spirit of the dialogue is one of learning from an authority and a friend, which is what differentiates it from the mode of debate or confrontation that preceded and followed it.3Both Lai Das and Dara show a remarkable and cordial attitude to each other, maintaining exemplary broadmindedness toward and appreciation of each other's religion.As much as Dara saw 1.
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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 | 0.008 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.003 | 0.014 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".