Deciphering Lesbian Relationships, Marriage and Homophobia in Abha Dawesar’s Babyji
Bibliographic record
Abstract
Abha Dawesar’s famous novel Babyji is a real kaleidoscope of themes that touch on political tensions, caste and class issues, school atmosphere, urban life, abuse, marriage, and Indianness, all interlaced with a lesbian story of a sixteen-year-old girl. Published in 2005, the period where in India, homosexuality was still under the veils of criminalization. This essay will analyse the representation of the main character, her early lesbian relationships in adolescence, the experiences of other characters in marriage, and how straight people feel about non-heterosexuality in relation to the chosen literary stance. This article is an effort to critically examine the portrayal of lesbian identity by Dawesar which is far from the theoretical and fictional implications of other Indian as well as Indian diasporic writers. It tries to shed light on the author’s intention to re-examine the societal norms, stratification, class distinction and other factors that press women’s independence, especially their sexual autonomy.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.011 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.002 | 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".