Indianness in the Novels of Rohinton Mistry with Refrence to Culture & Tradition
Bibliographic record
Abstract
Rohinton Mistry is an author belonging to Parsi community of Indian origin residing in Canada.He migrated to Canada in his early twenties as he wanted to become a Pop singer.He has confessed it even in various interviews that he migrated because it seems to be the fashion at his times.Youngsters of his generation used to migrate for better education, better career prospectus and other opportunities.Rohinton Mistry is one writer who basically deals with the themes of Immigration.Mistry in an author who is writing about a country namely India which he has seen and observed during his youth.Through his novels Mistry has beautifully expressed the pain and grief of immigrant writers who are born in India but staying away from their motherland.In all his works, Rohinton Mistry has not just written about India, but at the same time he has also revised and recalled the memories of
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".