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Ethnic conflict and the Fate of Parsis in India: a Study of Rohinton Mistry’s Tales from Firozshah Bag

2015· dataset· en· W2277506378 on OpenAlexaboutno aff
Iosr Journals, Moncy Mathew

Bibliographic record

VenueFigshare · 2015
Typedataset
Languageen
FieldArts and Humanities
TopicSouth Asian Studies and Diaspora
Canadian institutionsnot available
Fundersnot available
KeywordsEthnic conflictEthnic groupIndependence (probability theory)PoliticsHistorySocial scienceSociologyGenealogyGender studiesAncient historyPolitical scienceLawAnthropology

Abstract

fetched live from OpenAlex

Rohinton Mistry is an Indian born Parsi writer settled in Canada. He writes about the ethnic conflict that his community faces from the right wing political parties in Bombay like the Shiv Sena. His short story collection titled Tales from Firozshah Bag describes the Bombay city of the 1960s and 70s from a Parsi perspective detailing the present condition of the Parsis and their loss of social, economic and political significance. The short stories in the collection also present the issue of ethnic conflict that the community had to face from the neighbouring communities that call themselves ‘sons of the soil’. This article aims to analyse the issue of ethnic conflict faced by the Parsi community in the post-independence period with reference to Mistry’s first collection of short stories titled Tales from Firozshah Bag. KeywordsEthnic Conflict, Rohinton Mistry, Parsi Literature, Tales from Firozshah Bag.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.129
Threshold uncertainty score0.256

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.013
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.003

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.

Opus teacher head0.120
GPT teacher head0.289
Teacher spread0.168 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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