Община парсов (зороастрийцев) в мультикультурном Бомбее (по произведениям Рохинтона Мистри)
Bibliographic record
Abstract
In this article the author analyses the depiction of the Parsi (Zoroastrian) community in stories and novels of the Canadian author of Indian origin, Rohinton Mistry. Rohinton Mistry was born in India and left the country during the political crisis in 1975.Though he established himself well in Canada Rohinton Mistry felt a great deal of nostalgia for India and Bombay and made the fate of his tiny community the main theme of his prose. Mistry depicts Parsees as old and established community in the largest Indian metropolis who, however, is losing its influence due to political change. Though very nostalgic about India and Bombay Mistry is extremely pessimistic about the fate of his community there. Refs 9.
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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 | 0.007 | 0.004 |
| Meta-epidemiology (narrow) | 0.006 | 0.005 |
| Meta-epidemiology (broad) | 0.006 | 0.004 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.008 | 0.008 |
| Scholarly communication | 0.002 | 0.006 |
| Open science | 0.009 | 0.003 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.038 | 0.030 |
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; both teacher heads agree on what is shown here.
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".