The Gift of Writers in Animating the Past to the Present as Tales of Remembrance: A Comparative Study of Salman Rushdie’s Victory City and Amitav Ghosh’s Jungle Nama
Bibliographic record
Abstract
The research focuses on how fantasy is manifested as part of storytelling. Salman Rushdie’s Victory City (2023) and Amitav Ghosh’s Jungle Nama (2021) adopt ancient myths and histories that serve as remembrance tales. Both Rushdie and Ghosh evince a common interest in exploring social issues in their writings through an allegorical form. Rushdie’s Victory City is about the history of the Vijayanagar Empire, one of the most distinguished empires of medieval India (14th century to 16th century). Rushdie submitted his final edits of Victory City before the attack in New York City (Chautauqua) for his controversial novel The Satanic Verses. In the month of August 2022, he was stabbed in public by a youngster. He tweets that there is no freedom for authors to express themselves through writing. So, the research focuses on how fantasy serves as a tool for authors to express their views. His Victory City made him overcome all the negative criticism that he had encountered during the attack. Ghosh’s Jungle Nama also adopts the history of Sundarbans’ Forest goddess, Bon Bibi. Ghosh through his narration blends the myth and history of Bon Bibi who have been worshipped for centuries by the people of Sundarbans. Blending the real and imaginary in both fictions greatly challenges the differentiation between authenticity and fantasy. The supernatural phenomena in these narratives transport the reader from reality as a kind of escapism. During this, the characters in the fiction recall the past events and visions of the future in their present, and these aspects are also explored in the analysis. Victory City and Jungle Nama encounter the experience of mysticism in their narration which embarks on a voyage of difficulties and hindrances in the unreal world. Both these speculative fiction explore the concepts of fantasy and mystery so the theory of Magical Realism is applied to the strange creatures, other worlds, evils, demons, and demi-gods that exist in the fanciful setting which is also discussed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".