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Record W3033849377 · doi:10.5539/ijel.v10n4p124

Language and Power Discourse in Zulfikar Ghose’s Poetry Through Lyotard’s Deconstruction of Metanarratives

2020· article· en· W3033849377 on OpenAlexvenueno aff
Ayesha Ashraf, Sikandar Ali, Sundes Bashir

Bibliographic record

VenueInternational Journal of English Linguistics · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicPolitics and Conflicts in Afghanistan, Pakistan, and Middle East
Canadian institutionsnot available
Fundersnot available
KeywordsDeconstruction (building)PoetryPower (physics)PostmodernismLiteratureHegemonyPathosPhilosophyPoliticsRelation (database)EpistemologySociologyLawPolitical scienceArt

Abstract

fetched live from OpenAlex

This paper endeavors to analyze Zulfikar Ghose’s selected poems All in a Lifetime and Silent Birds in light of Jean Francois Lyotard’s theory of Postmodernism that was proposed in 1979. Ghose is a globally recognized Pakistani English poet and his poetry is enriched with pathos, sorrows and resistance against destruction caused due to the domination of modern metanarratives, such as progress, nationalism or political objectives. The current study also applies Foucault’s theoretical concept of bio power through discourse who coined this term in his The Will to Knowledge in 1988. This study highlights the chaos, fear and anxiety of the current age that is manifested in the poems, moreover, it shows the uncertainty caused by modern scientific warfare it is no more certain when and where one is going to die. The selected poems expose the relation between discourse and power, authority, domination and hegemony. The present study also demonstrates the significant role of Pakistani literature in general that attempts to resist the violence regardless of any differences. The research ends with recommendations and suggestions for further study.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0050.020
Scholarly communication0.0040.005
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.021
GPT teacher head0.339
Teacher spread0.318 · 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 designTheoretical or conceptual
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
Published2020
Admission routes1
Has abstractyes

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