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Record W594286511

Marginalisation and the construction of South-Asian identity in novels by Rohinton Mistry, Shyam Selvadurai and Moyez Vassanji

2002· article· en· W594286511 on OpenAlexaboutno aff
Narvadha Salaye

Bibliographic record

VenueKnowledge UdeS (Institutional Deposit of the University of Sherbrooke) · 2002
Typearticle
Languageen
FieldArts and Humanities
TopicPostcolonial and Cultural Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIdentity (music)South asiaHistoryGender studiesSociologyAestheticsArtAncient history
DOInot available

Abstract

fetched live from OpenAlex

The three texts analysed in this thesis are A Fine Balance by Rohinton Mistry, Funny Boy by Shyam Selvadurai and No New Land by Moyez Vassanji. These novels represent characters who experience different types of marginalisation that mediate their South-Asian identity, marginalisation based on caste, class, gender, sexual orientation, race, language and exile. These novels suggest that marginalisation can take place at home or abroad, for the stories are set in India, Sri Lanka and Canada. The thesis discusses the role of diasporic writing in constructing a sense of South-Asian identity. I explore the way these fictional works by South-Asian Canadian writers construct the identity of different minority groups such as women, untouchables, homosexuals, and immigrants through realism and cultural memory. This thesis is divided into three chapters in which marginalisation will be examined in its various forms."--Résumé abrégé par UMI

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.675
Threshold uncertainty score0.730

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.180
Teacher spread0.167 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2002
Admission routes1
Has abstractyes

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