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Record W4386828753 · doi:10.55041/ijsrem25715

The Grief of Immigrants: Unfolding Complexities of Indian Family in Badami’s The Hero’s Walk

2023· article· en· W4386828753 on OpenAlexaboutno aff
Kanwal Shaheen, Pamela Khan

Bibliographic record

VenueINTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicLiterary Theory and Cultural Hermeneutics
Canadian institutionsnot available
Fundersnot available
KeywordsHEROGriefFellImmigrationDiasporaDaughterEmigrationHistoryGender studiesMayaSociologyGenealogyArtLiteraturePsychologyGeographyPolitical scienceLawCartographyArchaeology

Abstract

fetched live from OpenAlex

Anita Rau Badami is a well-known Indian writer who now resides in Canada. She is a member of the Indian Diaspora. She is the author of four books, all of which deal with the complexities of Indian families, immigration difficulties and the cultural gaps that exist between Indians and westerners. The novel The Hero’s Walk addresses several important topics, such as the grief and loss suffered by immigrants. Maya, the story's central character, was born into a Brahmin family in Thoturpuram, moved to Canada for further education, and fell in love with Alan. Unfortunately, after Maya and Alan tied the knot, both of them perished in a car accident, leaving their seven-year-old daughter Nandana as an orphan in an unfamiliar nation. The author Badami does an excellent job of conveying the pain that comes with immigration through this work. This research paper emphasises the tragic, miserable, and pitiful situation of immigrants and their families. Keywords: Grief, Immigrants, Culture, Agony, Family, Assimilation

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)0.002
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: Other · Consensus signal: none
Teacher disagreement score0.043
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0340.022
Scholarly communication0.0070.003
Open science0.0010.006
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.079
GPT teacher head0.306
Teacher spread0.227 · 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
GenreOther

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
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueINTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTSame topicLiterary Theory and Cultural HermeneuticsFrench-language works237,207