Subaltern Experimental Writing: Dalit Literature in Dialogue with the World
Bibliographic record
Abstract
This essay analyses the experimental features of three contemporary novels produced by Dalits in relation to the novels' approach to caste and national and international audiences. Bama's Sangati (1994), Sharankumar Limbale's Hindu (2003), and G. Kalyana Rao's Untouchable Spring (2000) create fragmented, innovative, and complex narrative structures that are experimental both in their attempts to reflect oral narrative structures that validate the unique communal legacy of Dalit culture and their production of radically new narrative strategies that evoke a world free from caste discrimination. The essay also explores the novels' complex positioning of multiple readers and the distinctive features of their English translations. The three translations re-code the texts for international consumption but simultaneously try to keep the novels somewhat "strange"; the translations, which attempt to replicate the novels' innovative features, are also emphatically experimental.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.027 |
| Scholarly communication | 0.010 | 0.005 |
| Open science | 0.001 | 0.006 |
| 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".