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Power in R. K. Narayan’s Malgudi Days

2012· article· en· W1846832933 on OpenAlexvenueno aff
Moslem Zolfagharkhani, Siranoush Akhgarandouz

Bibliographic record

VenueCanadian social science · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicLiterary Theory and Cultural Hermeneutics
Canadian institutionsnot available
Fundersnot available
KeywordsHegemonyPower (physics)Resistance (ecology)HumanitiesPhilosophyEthnologyMichel foucaultSociologyPolitical scienceLawPhysicsPolitics

Abstract

fetched live from OpenAlex

The present study aims to consider Foucauldian ‘Power’ and its dimensions in the select short stories of R. K. Narayan’s Malgudi Days (1982). To that end, Foucauldian ‘Hegemony’ and ‘Resistance to Power and Limits of Power’ are discussed in these select short stories: “The Blind Dog”, “Forty-Five a Month”, “A Willing Slave”, “Leela’s Friend”, and “Selvi”. The study further shows the way the clusters in turn are related to each other and at the same time contribute to the Foucauldian concepts. Furthermore, Foucauldian ‘Hegemony’ and ‘Resistance to Power and Limits of Power’ are created through ‘Power’ which exists in various forms. Key words : Michel Foucault; Power; Resistance to power; Limits of power; Hegemony Resume La presente etude vise a examiner la “Puissance” foucaldienne et ses dimensions dans les histoires courtes de certains jours Malgudi RK Narayan (1982). A cette fi n, «L’hegemonie» foucaldienne et la «Resistance au pouvoir et les limites de la puissance» sont discutes dans ces histoires courts selectionne:“le chien aveugle’’, “Un mois de la Quarante-Cinq”, “Un esclave volontaire”, “Ami de Leela”, et le “Selvi”. L’etude montre en outre la facon dont les grappes a leur tour sont lies les uns aux autres et en meme temps contribuer a des concepts foucaldiens. En outre, «L’hegemonie» foucaldienne et «Resistance au pouvoir et limites de la puissance» sont crees par “Power” qui existe sous diverses formes. Mots cles : Michel Foucault; Puissance; La resistance au pouvoir; Les limites de la puissance; L’hegemonie

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.972
Threshold uncertainty score0.997

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 studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.022
GPT teacher head0.229
Teacher spread0.207 · 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 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
Published2012
Admission routes1
Has abstractyes

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