Bibliographic record
Abstract
If the representation of same-sex sexuality in punitive terms leaves gays in shock, then the legitimizing of Article XVI Section 377 (which bars gay sex) in India made gays all over the world, especially in South Asia speechless and traumatized. In response to this universally misconstrued image of an 'unnatural' man, Shyam Selvadurai, a Canadian-Sri Lankan writer creates a narrative which not only offers an 'innocent peek' into the biased perspectives of heterosexuals towards queers but the use of a child narrator is a deliberate ploy with which he deconstructs the craving for a so called 'healthy' text.' Thus, this article, by musing on Selvadurai's most acclaimed text Funny Boy (1994), attempts to examine how and why 'unhealthy' texts are constructed. Secondly, it elaborates on the subtle literary strategies used by Selvadurai to debunk pre-conceived notions of a heterosexual literary text. Finally, the article while locating a gay narrative in the social and cultural context of Sri Lanka, presents a gendered analysis of homosexuality in Sri Lanka.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.034 | 0.032 |
| Scholarly communication | 0.009 | 0.006 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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".