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Record W4386716160 · doi:10.1177/21582440231197272

Fictionalizing the Language of Power: A Comparative Study of Pakistani and Latin American Novels

2023· article· en· W4386716160 on OpenAlexaff
Sadia Ali, Muhammad Alir, Muhammad Usman Ghani

Bibliographic record

VenueSAGE Open · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicLatin American Literature Studies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsDictatorDictatorshipPower (physics)Latin AmericansSociologyCatalanAnachronismDowryLiteratureHistoryLawDemocracyLinguisticsPhilosophyPolitical scienceArt

Abstract

fetched live from OpenAlex

Latin American dictator fiction has a long tradition and is widely acclaimed in critical studies, while Pakistani dictator fiction began to emerge in recent years. The study is analytical and comparative research based on the contents of two culturally, historically, and geographically diverse novels—Mario Vargas Llosa’s The Feast of the Goat and Mohammad Hanif’s A Case of Exploding Mangoes so as to locate their common and contrasting aspects. It is a qualitative study and through content analysis, it finds convergences and divergences between a Latin American and a Pakistani dictator novel. A special emphasis of the study is on power, dictator portrayal, torture, resistance, retelling/rewriting history, and representation. The study concludes that where Llosa presents the detailed description of events related to the atrocious regime of Trujillo, Hanif presents a partial and not the whole view of Zia’s dictatorship. Llosa misses no opportunity to create the sentiments of detestation and wrath against the despotic rule and his language throbs with bitterness and becomes satiric while unveiling the dark aspects of the Trujillo regime. However, Hanif, instead of giving a detailed and direct portrayal of certain dark aspects and brutalities, gives just oblique references to them and even the events which he brings to the forefront are presented in a very light and humorous vein which fail to arouse the emotions of abhorrence and denouncement against the despotic rule.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.181
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.044
GPT teacher head0.408
Teacher spread0.364 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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Same venueSAGE OpenSame topicLatin American Literature StudiesFrench-language works237,207