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Record W4406245866 · doi:10.5430/wjel.v15n4p1

Representative Images of Saudi Arabia and Saudis: An Imagological Study of Some Selected Novels in English

2025· article· en· W4406245866 on OpenAlexvenueno aff
Mohamed S. A. Aly, Asma Sakit Alshammari

Bibliographic record

VenueWorld Journal of English Language · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicLiterary Theory and Cultural Hermeneutics
Canadian institutionsnot available
FundersPrince Sattam bin Abdulaziz University
KeywordsComputer scienceHistory

Abstract

fetched live from OpenAlex

The image of the Orient has been a “construct” of the West, emerging from a dualistic dichotomy of East versus West, or the subject encountering the “Other”—the subservient other that needs the “civilizing mission” of the West (mission civilisatrice in the sarcastic words of Edward Said). In the contemporary scene, the images of Saudi Arabia and the Saudis in western novelistic discourse has not displayed much change, or it may have taken different forms under the effect of the demise of the old colonialism and the prevalence of globalization, especially in the cultural sphere. The Orient has woven itself into Western culture through translations and English-language writings, shaping its own image and sparking significant interest due to the substantial political and economic influence of contemporary Saudi Arabia. The current study investigates some representative images of Saudi Arabia and Saudis in Anglophone narratives of English-speaking novelists, native Saudis’ novels in English, and translations of Native Saudis’ novels. This adds a discussion of the image of the orient created by the orient itself. In analysing these images, the study explores numerous examples, comparing and contrasting them in the manner of imagology, with special reference to three representative narratives: Hilary Mantel’s Eight Months on Ghazzah Street (1988), Ghazi Al-Gosaibi’s Freedom Apartment (1994/1996), and Eman Quotah’s Bride of the Sea (2021).

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)0.001
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 score0.048
Threshold uncertainty score0.393

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.014
GPT teacher head0.270
Teacher spread0.256 · 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
Published2025
Admission routes1
Has abstractyes

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