Language of the Snakes: Prakrit, Sanskrit, and the Language Order of Premodern India
Bibliographic record
Abstract
Language of the Snakes traces the history of the Prakrit language as a literary phenomenon, starting from its cultivation in courts of the Deccan in the first centuries of the common era. Although little studied today, Prakrit was an important vector of the kāvya movement and once joined Sanskrit at the apex of classical Indian literary culture. The opposition between Prakrit and Sanskrit was at the center of an enduring “language order” in India, a set of ways of thinking about, naming, classifying, representing, and ultimately using languages. As a language of classical literature that nevertheless retained its associations with more demotic language practices, Prakrit both embodies major cultural tensions—between high and low, transregional and regional, cosmopolitan and vernacular—and provides a unique perspective onto the history of literature and culture in South Asia. “Andrew Ollett’s book is one of those scholarly breakthroughs that happen, with luck, once or twice in a generation. It reveals the richness of Prakrit language and literary modes with a precision and depth of insight never seen before.” DAVID SHULMAN, Professor Emeritus, Hebrew University “Ollett offers a brilliant, original, and thoroughly engaging investigation of the complex language order of premodern India. Bringing to the fore the less-studied role of the literary Prakrits, his work makes a major contribution to our understanding of the history of language and literature in early India and beyond.” R. P. GOLDMAN, Catherine and William L. Magistretti Distinguished Professor in Sanskrit and India Studies, University of California, Berkeley ANDREW OLLETT works on the literary and intellectual traditions of premodern India.
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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 | 0.006 | 0.008 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".