Mutiny Echoes: India, Britons, And Charles Dickens's A 'tale Of Two Cities'
Bibliographic record
Abstract
This essay asks what, if any, import the Indian "Mutiny" of 1857 had on A Tale of Two Cities (1859), Charles Dickens's fictionalized account of the French Revolution. Begun shortly after the Indian uprising started, Dickens's historical novel appears studiously to avoid any mention of events on the Indian subcontinent, even though these events preoccupied and enraged the author. Few scholars have attended to the question of A Tale of Two Cities and the "Mutiny," but when they have, scholars have looked for analogies between India and Dickens's account of the French Revolution. In this essay, by contrast, I examine A Tale of Two Cities in a larger context-of Britons' response to the Uprising, of Dickens's short stories and essays in Household Words in the years before the "Mutiny" and immediately after, of Dickens's disenchantment with aspects of British culture, and of his need to articulate a national identity grounded in action. I argue that the events in India were the match that ignited Dickens's already established mid-century interests in national identity, nobility, and masculine heroism. I do not wish to Suggest that A Tale of Two Cities is an Indian "Mutiny" novel, but rather that it is a novel about the "Making of Britons," an important endeavor for an author who was intensely dissatisfied with the Britain that he saw around him.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.027 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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".