Bibliographic record
Abstract
The year 2013 was the 94th anniversary of the Amritsar massacre in the Jallianwala Bagh, and it was also the year that the film of Salman Rushdie's Midnight's Children went on general release. The Amritsar atrocity is the first historical event portrayed in the original novel, demonstrating its relevance to the emergence of an independent India, yet – despite its director being born in Amritsar – the movie chooses not to represent the massacre at all. This essay argues that such a symbolic omission hints at a major shift in the politics of Rushdie's newer work: The Enchantress of Florence and Shalimar the Clown are marked by a capitulation in the face of state power that Rushdie fought so hard against in Midnight's Children and The Satanic Verses. Rushdie has never been only a celebrant of ‘hybridity, impurity, intermingling,’ preferring instead to dramatize the conflict between the magic of hybridity and the awful realities of state power, in a technique I dub ‘tragic realism’. In his latest novels, however, Rushdie portrays less and less magic in his worlds, replacing it with more and more sadness about what he sees as the failure of hybridity as a political project in the face of sovereign power and the state of exception.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.051 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.008 |
| Insufficient payload (model declined to judge) | 0.007 | 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".