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Record W2911868445 · doi:10.5539/ells.v9n1p120

Political Imbroglios in Kamila Shamsie’s Home Fire and Mohammad Hanif’s A Case of Exploding Mangoes

2019· article· en· W2911868445 on OpenAlexvenueno aff
Muhammad Arfan Lodhi, Sania Muqqadas, Sobia Sikander

Bibliographic record

VenueEnglish Language and Literature Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicPolitics and Conflicts in Afghanistan, Pakistan, and Middle East
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsProsperityIdeologySociologyCapitalismMedia studiesSocial scienceAestheticsPolitical scienceLawArt

Abstract

fetched live from OpenAlex

This research work aims at to scrutinize two novels of Pakistani writers, Mohammad Hanif’s A Case of Exploding Mangoes (2008) and Kamila Shamsie’s Home Fire (2017) comparatively. Hanif’s novel is about the ruling era of General Zia-ul-Haq and Shamsie’s novel is about the difficulties of Muslim migrants in a foreign country. The purpose of this study is to accentuate the working of politics and political imbroglios at personal, social, civil/political, and military level; intermingling of religious values into political values; and conversion of politics into capitalism through Marxism theory which is originated by Karl Marx and Friedrich Engels in the mid-to-late nineteenth century, taken from Lois Tyson’s book Critical theory today (2006). The researchers have substantiated through the comparative analysis of both novels that the use of politics in a positive way becomes the cause of peace and prosperity and the use of it negatively becomes the cause of creating disintegration and demolition in the society. This study spotlighted that whatever people do in their life, they do so to get personal benefits, political advantages and economic power. Conspicuous findings of the study reveal that both novels explicate intricate ideologies at personal, political, cultural and somewhat emotional levels. The novels display themes and stories, with slight manipulation of political and cultural facts and realities.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.744
Threshold uncertainty score0.565

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 head0.012
GPT teacher head0.304
Teacher spread0.292 · 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 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

Citations3
Published2019
Admission routes1
Has abstractyes

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