FEMINISTIC PROSPECTIVES ON NISHA DA CUNHA'S NO BLACK, NO WHITE
Bibliographic record
Abstract
The presence of the British in India gave rise to sub-culture, which ushered for the better part of the three centuries. The Anglo-Indians and crossbreed people of India and European Decent carved a unique niche for themselves in British India's society. While their language, religious and educational background was European, they developed a style of life which was distinct from both their British and Indian progenitors. Some well-known Anglo-Indians include Sir Cliff Richards, Engle Bert, Humperdinck, and Merle Oberon. After India gained Independence in 1947, the majority of the Anglo Indian community emigrated to the U.K., Australia, and Canada. Nisha Da Cunha is widely regarded as one of India's finest short story writers. We see her at her best writing with a fine degree of sensitivity about women faced with uncertainty, fear, despair and romantic longing. She uses a number of female voices. The interior lives and believing of her characters as they try to come to terms to separation, rejection, loss, and death come alive. There is a Safe in the title story, who grapples with grief and isolation in the big city after she is relocated from the peaceful community where she grew up in the company of her beloved father and birds; Radha in ‘Old Cypress’ is left by her husband for a younger woman. We also witness the growing and difficult friendship of an irritable old man and middle-aged woman are drained jointly by their infatuation for books. A collection of considerable beautiful and powerful stories include the critically acclaimed Old Cypress and The Permanence of Grief. They are infused with Nisha Da Cunha's deep understanding of the fragility of the human condition.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.029 | 0.010 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.014 | 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".