MétaCan
Menu
Back to cohort
Record W4405912860 · doi:10.5430/wjel.v15n3p140

The Identity of Metropolitan Imperialism as Paradigmatic Stereotypes of Ideology, Racial Ethnicity, and Otherness in the Postcolonial Novel

2024· article· en· W4405912860 on OpenAlexvenueno aff
Zeena Mohammad Tahir, Ghada S. Sasa, Saif Al-Deen Al-Ghammaz, Fatima Ali Al-Khamisi, Abdalhadi Nimer Abdalqader Abu Jweid

Bibliographic record

VenueWorld Journal of English Language · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicPostcolonial and Cultural Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIdeologyMetropolitan areaEthnic groupIdentity (music)Gender studiesSociologyPolitical scienceAnthropologyGeographyAestheticsPoliticsPhilosophyLawArchaeology

Abstract

fetched live from OpenAlex

This paper examines the dichotomy between humanism and the ideological construction of Englishness in the light of post-colonialism. The study mainly relies on imperialism as the hegemonic “center,” which inherently affects the “margin.” That is, the dominant Western imperial hegemony imposes its culture and identity upon the colonized nations. Therefore, it will unravel Western domination as the “center” and the colonized nations as the “margin.” In this sense, it will highlight this dichotomy by applying Edward Said’s concept of the self-other relationship, whereby the Western hegemony will be identified as the dominant “self,” which leaves its apparent social and cultural impact upon the identity of the colonized “other” nations. As such, the study’s methodology follows a textual analysis of some literary works that depict the dichotomy between humanism and the ideological construction of Englishness. It will demonstrate how the imperial “self” drastically projects its cultural influence upon the colonized “other,” which is the recipient of Englishness per se.

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)0.003
metaresearch head score (Gemma)0.002
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: Other · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.030
Scholarly communication0.0100.003
Open science0.0010.004
Research integrity0.0010.002
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 head0.014
GPT teacher head0.279
Teacher spread0.265 · 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
GenreOther

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

Citations1
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueWorld Journal of English LanguageSame topicPostcolonial and Cultural Literary StudiesFrench-language works237,207