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Record W2941032109 · doi:10.24113/ijellh.v1i1.6

A Journey Down The Lane In Past Memories Rohinton Mistry’s Aspects of Immigration

2017· article· en· W2941032109 on OpenAlexaboutno aff
Vikas Jaolkar

Bibliographic record

VenueSMART MOVES JOURNAL IJELLH · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicSouth Asian Studies and Diaspora
Canadian institutionsnot available
Fundersnot available
KeywordsPsycheFeelingImmigrationPoliticsFaithHistorySociologyLiteratureReligious studiesMedia studiesAestheticsLawPsychoanalysisPsychologyPhilosophyArtPolitical scienceTheologySocial psychology

Abstract

fetched live from OpenAlex

Rohinton Mistry was born and brought up in Mumbai in the mid fifty’s, migrated to Canada at the age of 23. Mistry belongs to that class of the Indian authors who shifted their base from India to somewhere else but throughout their lives continue missing their mother land. We can easily recall a beautiful song of the movie “Namste London” which says “Main Jahan rahoon main kahin bhi rahoon Teri yaad saath he” means “where ever I am but your memories are always there with me.” The acute pain and feeling of not being with the people who are like you, who speaks your language can be better , felt and expressed by exiled or immigrant writers . Such people might be physically away from their own motherland but deep in their hearts always keep on missing their motherland. According to Hudson “A nation’s life has its moods of exultation and depression, its epochs a strong faith and strenuous idealism now of doubt struggle and disillusion, now of unbelief and flippant disregard for the sanctities of existence and while the manner of expression will vary greatly with the individuality of each writer the dominant spirit of the hour whatever they may be will directly or indirectly reveal itself in his work”. (1) According to Goethe’s statement “Everyman is the citizen of his age as well as of his country.”(2) The impact and influence of the age, psyche, cultural heritage and political up down on the Author’s mind is due to the fact that later is constantly influenced by the spirit of all above fastness and reacts to it vividly and vigorously. Although he left India in 1975 and does not often go back, Mistry told a British Magazine that he feels no hindrance in writing about this home country “So far I have had no difficulty writing about it, even though I have been away for so long”, he said “All fiction relies on the real world in the sense that we all face in the world through our five senses and we accumulate details, consciously or subconsciously. This accumulation of debt can be drawn on when you write fiction. (3) The beauty and delicacy with which Mistry has portrayed the experience of immigration, the immense pain of not being with your own people, no author has done it so far.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.038
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0240.010
Scholarly communication0.0100.008
Open science0.0010.007
Research integrity0.0040.015
Insufficient payload (model declined to judge)0.0090.002

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 head0.029
GPT teacher head0.249
Teacher spread0.221 · 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
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
Published2017
Admission routes1
Has abstractyes

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