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Record W7115171000 · doi:10.5281/zenodo.17926605

Voices from Foreign Land: A Study of Select Diaspora Narratives of Rohinton Mistry

2025· article· W7115171000 on OpenAlexaboutno aff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typearticle
Language
FieldSocial Sciences
TopicDiaspora, migration, transnational identity
Canadian institutionsnot available
Fundersnot available
KeywordsDiasporaHomelandNarrativeSettlement (finance)ImmigrationConsciousness

Abstract

fetched live from OpenAlex

Diaspora is a social formation outside the nation of its origin. Diaspora deals with the uprooting, forced or voluntary, of the mass of people from their native ‘homeland’ and their ‘re-rooting’ in the foreign land. The word ‘diaspora’ comes from the Greek composite verb diasperiein-dia (meaning ‘through or across’) and speirein (meaning to sow/scatter). Diaspora means to scatter through/across, an act of dispersion or scattering. It is an act of gathering and settlement from the homeland to the host land, which is known as the new land. The term diaspora was not in circulation before the 1980s, and there was no evidence of diaspora theory before that decade. Rohinton Mistry is a writer of the Indian diaspora who settled in a foreign land and speaks about his diasporic consciousness of his homeland through his novels set in Canada. The main objective of the research article is to reveal voices from the cross-border using diasporic narratives in the novels of Rohinton Mistry. Keywords: uprooting, re-rooting, homeland, foreign land

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)0.003
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0160.010
Scholarly communication0.0090.006
Open science0.0020.008
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.001

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.

Opus teacher head0.031
GPT teacher head0.294
Teacher spread0.263 · 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 designQualitative
Domainnot available
GenreEmpirical

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
Published2025
Admission routes1
Has abstractyes

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