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Record W4389098054 · doi:10.1080/0950236x.2023.2288115

Rawi Hage’s <i>Cockroach</i> and Laila Lalami’s <i>The Other Americans</i> : images of twenty-first century Occident in Arab eyes

2023· article· en· W4389098054 on OpenAlexaboutno aff
Ahmed Shalabi, Yousef Abu Amrieh

Bibliographic record

VenueTextual Practice · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicDiaspora, migration, transnational identity
Canadian institutionsnot available
Fundersnot available
KeywordsOrientalismImmigrationTheme (computing)RefugeeHistorySociologyFace (sociological concept)Gender studiesArabicNarrativeLiteratureArtPhilosophySocial science

Abstract

fetched live from OpenAlex

The East–West encounter in the twenty-first century is a major theme in the works of contemporary Anglophone Arab diasporic writers. However, unlike some Arab intellectuals and writers of the previous centuries whose accounts hyperbolically praised Western lifestyles and cultures, twenty-first-century Anglophone Arab diasporic writers draw a different image of the Occident. We argue that their texts tend to restructure Arab people’s inherited glamorised image of the ‘West’ by depicting the difficulties that Arab immigrants and refugees face there. Hence, the aim of this paper is to explore the representation of the Occident in Lebanese-Canadian novelist Rawi Hage’s Cockroach (2008) and Moroccan-American novelist Laila Lalami’s The Other Americans (2021). We conclude that the selected novels, as well as other contemporary Anglophone Arab diasporic texts, can provide an insight into the importance of Occidentalism as a mechanism through which Occidentalist literature sheds light on the unconceived matters that Arabs, whether immigrants or living in the Arab world, are oblivious to and reminds the ‘West’ of the struggles that Arab immigrants/refugees encounter while living in Western societies.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
Threshold uncertainty score0.156

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.011
Scholarly communication0.0060.001
Open science0.0000.001
Research integrity0.0010.002
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 head0.027
GPT teacher head0.330
Teacher spread0.303 · 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 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

Citations3
Published2023
Admission routes1
Has abstractyes

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