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Record W2093050648 · doi:10.3138/utq.69.3.670

Indian Writing English: Counterrealism as Alternative Literary History

2000· article· en· W2093050648 on OpenAlexvenueno aff
Chelva Kanaganayakam

Bibliographic record

VenueUniversity of Toronto Quarterly · 2000
Typearticle
Languageen
FieldArts and Humanities
TopicSouth Asian Studies and Diaspora
Canadian institutionsnot available
Fundersnot available
KeywordsArgument (complex analysis)ColonialismHistoryLiteratureNationalismExtension (predicate logic)LinguisticsSociologyLawPhilosophyArtPolitical sciencePolitics

Abstract

fetched live from OpenAlex

This essay is at least partially a belated response to a significant, polemical, and neglected monograph entitled Indian Writing in English: Is There Any Worth in It? written by Subha Rao and published in 1976. The monograph is a reworking and elaboration of a paper presented, appropriately, at the University of Mysore, then the centre of Indo-Anglian and postcolonial studies in India. Had this trenchant critique of Indo-Anglian writing been written from the perspective of what has been dubbed the `colonial cringe,' namely, an uncritical defence of a canonical, largely British, tradition, a response would be an unprofitable exercise in that it would seek to resolve on a literary plane what is clearly an expression of cultural bias. Rao's work, admittedly, does not exclude references to British literature — in fact, an instance of comparison, one that is used to judge the only Indo-Anglian text that the author refers to, namely, B. Rajan's The Dark Dancer (1958), is Middlemarch. But the core of the argument is derived from socio-cultural premises that have a specific and local significance for India, and by extension for countries and regions where alternative linguistic traditions have been revived and foregrounded as an auxiliary to decolonization and nationalism. The failure of Indian writing in English, according to this view, is seen to be a consequence of factors more complex than that of a duality based on authenticity versus imitation.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.633
Threshold uncertainty score0.991

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 studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0410.000

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 head0.012
GPT teacher head0.181
Teacher spread0.170 · 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.

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

Citations2
Published2000
Admission routes1
Has abstractyes

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