Nahda-izing India: The Urdu-Hindi Debate and its Arabic Alternative, c. 1860s–1947
Bibliographic record
Abstract
In 1869–70, the celebrated South Asian Muslim intellectual Sayyid Ahmad Khan (1817–98) visited Egypt on his way to England. Khan, one of South Asia's most renowned Muslim thinkers, was the founder of the Muhammadan Anglo-Oriental College (est. 1875; hereafter MAO College), a higher education institution in the North Indian town of Aligarh modeled after Oxbridge. Responding to intensified efforts by Hindu organizations to elevate the status of Devanagari-script Hindi to that of Urdu in Indian provincial courts, Khan argued throughout his journey that the use of Urdu was even more extensive than that of French in Europe, contrasting it with Hindi, which he “did not find anywhere.” In his view, Urdu was a clear and simple language that facilitated connections between diverse peoples, unlike Hindi.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.011 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".