Because Pigs Can Fly: Sexuality, race and the geographies of difference in Shyam Selvadurai's<i>Funny Boy</i>
Bibliographic record
Abstract
This article explores the ways that the popular diasporic novel Funny Boy, set in Sri Lanka but written from Canada by an exiled Sri Lankan born Tamil, intervenes in the country's contemporary geographies of difference. The novel itself explores a Tamil boy's struggle to negotiate life in Sinhala-dominated Colombo while also coming to terms with his emergent same-sex desire. By focusing specifically on the writing of two familiar middle-class Sri Lankan spaces central to the novel's narrative—the family home and the school—the article shows how these everyday geographies regulate and normalise carnal desire in a society which still operates anti-homosexual legislation. It also suggests how the erosion of the meanings of these familiar spaces is a tactic central to the main protagonist's sexual liberation. By reading these sexualised geographies through the polemic racialised Sinhala/Tamil divisions in contemporary Sri Lankan society, the paper shows how the novel makes an important political intervention in contemporary Sri Lankan politics where devolution and federal solutions to recent civil unrest have produced territorialised geographies of difference that prescribe ‘places for races’. By evoking the Funny Boy's fictive and sexualised geographies of exclusion and resistance, this article unsettles the logic that binds intra-racial solidarity, its cognate geographical modelling, and instead highlights the exclusions that exist at all levels in Sri Lankan society. Amma held up her hand to silence us. ‘That's an order,’ she said. ‘Why?’ I asked, ignoring her gesture. ‘Why do I have to play with the boys?’ ‘Why?’ Amma said. ‘Because the sky is so high and pigs can't fly, that's why.’ (Selvadurai, Citation1995, pp.18–19)
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.015 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".