The way of words: Vernacular cosmopolitanism in Amitav Ghosh’s <i>Sea of Poppies</i>
Bibliographic record
Abstract
In Amitav Ghosh’s Sea of Poppies I examine the ways of imagining and practising resistance by way of the concept of “vernacular cosmopolitanism”. I use the concept in two senses: first, as a cultural and political term that Homi Bhabha describes as a “cosmopolitan community envisaged in a marginality”, a form of materialist, actually existing, and rooted cosmopolitanism; second, in its vernacular, linguistic sense that reflects the way of words and the politics of language in the novel. In applying the term “vernacular”, I wish to bring to the fore — in the spirit of Sheldon Pollock’s groundbreaking work on “Sanskrit Cosmopolis” — the linguistic aspect of the concept of cosmopolitanism, which I feel has been inadequately discussed. In Sea of Poppies, language importantly serves both as an index of the cross-cultural fusion that was operating in the Indian Ocean, Bay of Bengal, and their littoral zone and hinterland in the second quarter of the nineteenth-century, and also as a trope for the emergence of new identities in the Ibis trilogy.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.009 | 0.025 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.004 |
| 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".