Bibliographic record
Abstract
In 2001 Anita Rau Badami, a writer of Indian descent living in Canada, wrote her second novel, The Hero’s Walk, where she portrays the life of Sripathi Rao, a middle-aged family man working as an advertising copywriter in a small city on the Bay of Bengal. Female characters surround Sripathi; on the one hand are her domineering octogenarian mother, his 44-year-old unmarried sister and a subservient wife; on the other hand, his daughter Maya is living with her husband in Vancouver. As fate unfolds, his daughter and her husband are killed in an accident, and Sripathi decides to bring back his seven-year-old granddaughter, Nandana, to India. Shocked by the death of her parents, Nandana remains, in the novel, a mute spectator of the contradictions and woes of Indian society, such as the “stench of fish, human beings, diesel oil, food frying, poor drains, chaotic traffic and pervasive corruption”. In this paper, we are interested in studying the youngest of the female characters, Nandana, a girl carrying two cultures, Indian and Canadian and according to Nirmala, the wife of Sripathi, is “HALF-FOREIGN”. She is aware of Hindu Gods through the stories narrated by her mother, Maya. She also leant a little Kannada from her. However, in India, the Hindu culture and Indianness confuse her. Confused in her “new” family, Nandana prefers to call herself a “Canadian”. In the end, these questions need to be answered, where does Nandana “belong”? This paper attempts to delve into this question through Badami’s Nandana.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".