Imagining the New Indian Girl: Representations of Indian Girlhood in Keeping Corner and Suchitra and the Ragpicker
Bibliographic record
Abstract
The capacity of young girls to represent a healthy new beginning is nothing new to children's literature. One need look no further, for example, than two classics: Frances Hodgson Burnett harnessed this figure's power with Mary in 'The Secret Garden' (1911), as did C. S. Lewis with Lucy in 'The Lion, the Witch and the Wardrobe' (1950). Yet the way young girl characters are positioned in contemporary, English-language Indian children's novels by women writers does seem new; these 'new Indian girls' function to represent a modern, postcolonial India in which gender equality is beginning to find a happy home. Setting up a binary which positions societal values from pre-colonial and colonial India as backwards and problematic, these children's novels demonstrate the value of girls in postcolonial India - at least some girls, according to some writers.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.025 | 0.031 |
| Scholarly communication | 0.015 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| 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".