The Afterlife of a ‘Sexual Revolution’: Revisiting Responses to Deepa Mehta’s Fire (1996)
Bibliographic record
Abstract
Even after so many years, Deepa Mehta’s Indo-Canadian directorial Fire (1996) keeps resurfacing in literary circles with its multifaceted and inexhaustive appeal. The movie, centring around the same-sex desire between two women, Radha and Sita, was at the peak of its controversy during its release in India in 1998, and since then, the reactionary hate of the masses has come to embody the country’s intolerant stance towards homosexuality. Over the years, the public furore against the screening of Fire and criticism of the film’s content as anti-national and that it is a desecration of the very notion of the ‘Indian woman’ has drawn critics, again and again, to comment on the ways in which the film brought about a sexual revolution. Treating the litany of critical commentary on the film as afterlives of a ‘sexual revolution’, the paper will attempt to map some of the central issues addressed by critics over the years so as to re-situate Fire within the evolving discourses on gender, sexuality, and culture in the country. In doing so, the paper will underscore the importance of the role that 20th-century Indian cinema had to play in launching a conversation that sustains itself well into succeeding generations.
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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 | 0.008 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.035 | 0.026 |
| Scholarly communication | 0.015 | 0.006 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.011 | 0.022 |
| Insufficient payload (model declined to judge) | 0.003 | 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".