THE HOME AND THE WORLD: FAMILY TIES AND MIGRANT EXPERIENCE IN SELECTED TEXTS OF ROHINTON MISTRY
Bibliographic record
Abstract
The selected fiction of Rohinton Mistry encompasses a fictional world imbued with reality: the metropolitan, middle, and lower-middle-class Parsi family. The metropolis is usually identified as Bombay/Mumbai. The characters are stuck between poverty and religion, desperate to find a way out. The selected texts deal with themes which plague the society at large: class, gender, caste and official hierarchies. His selected fiction i.e., Tales from Firozsha Baag and Family Matters traverse the expanding circles of family, neighbourhood, community, and country. The family is an ambivalent space in Mistry’s oeuvre. It is a circumscribed space but still acts as a comforting space. It dives deep into the cosmos of feelings, relationships, attitudes and behaviours. His oeuvre acts as a microcosm where the home and the world are juxtaposed. Mistry's own experiences as an outsider in Canada led him to compare both. He unearths a peculiarity while comparing India to a multi-cultural land like Canada, which is the base of most of his fiction. Therefore, this piece of work aims to explore the ideas of family and community, the idea of a home left behind, and how the home and the world converse in selected texts of Rohinton Mistry.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| 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".