The Translator in the Plot of Cultural Theory: Amitav Ghosh’s The Hungry Tide
Bibliographic record
Abstract
Recent shifts of focus within media studies, literary and cultural studies are promising, finally, to give translation a significant role in the analysis of cultural objects and to confirm translation studies as an area of inquiry whose explorations at the intersection are uniquely productive. My aim in this paper is to examine the translator’s plot as it is enacted in fiction (in the novel, The Hungry Tide by Amitav Ghosh, 2004), but also to show in what timid ways the translator plot is now also emerging in the area of cultural theory in relation to the idea of circulation. In contrast to other contexts, like Canada or India, American cultural and literary theory has traditionally been indifferent to questions of language, and so the new visibility of translation within these fields is a development whose implications merit attention. To pair up developments in American theory with a novel focusing on the Indian context is to conjugate two modes of visibility, which share significant commonalities.
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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 | 0.007 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.009 | 0.042 |
| Scholarly communication | 0.008 | 0.011 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.012 |
| Insufficient payload (model declined to judge) | 0.002 | 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".