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Record W2207436560

“Beggaring the Nation”: Bodily Inscription and the Body Politic in Rohinton Mistry’s A Fine Balance

2015· article· en· W2207436560 on OpenAlexvenueno aff
James W. Johnson

Bibliographic record

VenueStudies in Canadian Literature · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicSouth Asian Cinema and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsBody politicMetaphorNarrativeBalance (ability)Coherence (philosophical gambling strategy)AestheticsSociologyPoliticsGender studiesPsychicEpistemologyPsychologyPolitical scienceLawPhilosophyArtLiterature
DOInot available

Abstract

fetched live from OpenAlex

In Rohinton Mistry’s novel A Fine Balance (1995), the ubiquity of bodily metaphor and description reveals a fundamental concern with the representational capacity of the body. Set in India and focussing primarily on the volatile period of the Emergency (1975-1977), the novel explores the way in which historical and political processes impinge upon the lives of, and inscribe the bodies of, individual citizens. In addition to providing a structural paradigm by charting the progression of the narrative, images of bodily decline, deterioration, and mutilation serve as signifiers of the violent regulatory practices of both the caste-system and the Indira Gandhi regime during the Emergency. Within a theoretical framework informed by the work of Michel Foucault, Julia Kristeva, and others, the regulatory practices of the state in A Fine Balance can be understood to produce not only docile bodies that are useful and obedient, but also abject bodies that disturb the coherence and stability of a social structure depicted as a healthy and pure body. Mistry’s representations of the body as an inscriptive surface thus problematize the attempts of the novel’s ruling Indira Gandhi regime to depict the Indian body politic as a coherent, homogenous, and corporeal totality. Ultimately, A Fine Balance suggests that it is only through an awareness of the diffuse interrelationships between individual subjects that we can begin to imagine the complex and heterogeneous network of linkages of which the nation is comprised.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.836
Threshold uncertainty score0.949

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 communication0.0000.000
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 head0.038
GPT teacher head0.256
Teacher spread0.218 · 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 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

Citations1
Published2015
Admission routes1
Has abstractyes

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