Bibliographic record
Abstract
In this book the four novels which were taken to discuss are easily bound by the thread of the experiences of expatriates in a given society. The Indian expatriates, in their writings, have reflected upon what we may consider to-day as an expatriate and emotional integration. A reference of alienation does exist in the expatriate sensibility, yet they refuse to forget India. Expatriation basically differs from immigration in its concept of assimilation. As an expatriate how Bharati Mukherjee always carries her country with her, betraying notes of nostalgia or aversion as the case may be. Bharati Mukherjee has dealt with Indian life realistically and poignantly in her fiction, depicting her dreams and heart-aches with irony. Bharati Mukherjee as an expatriate, in trying to maintain her identity voluntarily or due to racism, follows the mosaic pattern as in Canada, the immigrant embraces assimilation and subscribes to the melting-pot theory of America. After fifteen years stay in Canada, she felt an expatriate and became an immigrant as she became one with the Americans. Since she declares herself an immigrant and writes about immigrants and how they are trying for self identity.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.021 | 0.012 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 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".