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Record W4416192794 · doi:10.5430/wjel.v16n2p428

Self and Others in the English Translation of Taha Hussein’s Al-Ayyām (The Days): A Posthumanist Perspective

2025· article· W4416192794 on OpenAlexvenueno aff
Samir H. Khalifa, Elham Alzain, Ghiadaa Khodier, Ali Saleh Alshebami, Abdullah Hamoud Ali Seraj, Ayman Elhalafway

Bibliographic record

VenueWorld Journal of English Language · 2025
Typearticle
Language
FieldSocial Sciences
TopicDisability Rights and Representation
Canadian institutionsnot available
FundersKing Faisal University
KeywordsPosthumanismPerspective (graphical)Intersection (aeronautics)Identity (music)Relation (database)Translation studiesKey (lock)

Abstract

fetched live from OpenAlex

This paper explores the construction of self and others in the English translation of Taha Hussein's Al-Ayyām (The Days), a trilogy: An Egyptian Childhood, The Stream of Days, and A Passage to France. Adopting a posthumanist approach, the paper closely examines the self and others, focusing on how people with disabilities perceive themselves in relation to the non-disabled, and explores themes of relationships and social interaction. Hence, the key aim of posthumanism is to challenge the negative view of disability. In this way, the study seeks to reread Al-Ayyām from a posthumanist perspective. Additionally, it aims to explore how Hussein echoes the voices of blind people in his autobiography. From an analytical perspective, the present research reveals how Hussein presents the views of blind individuals to enable non-disabled readers to comprehend their beliefs, challenges, lived experiences, and worldviews. The study also finds that the English translation mediates and reperforms Hussein's subjective voice on behalf of Anglophone readers in cross-cultural contexts. The paper emphasizes the potential of uniting humanities methods to offer new insights into the intersection of identity and posthumanist philosophy.

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)0.003
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 score0.343
Threshold uncertainty score0.647

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
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 science0.0010.000
Research integrity0.0000.001
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 head0.010
GPT teacher head0.302
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

Citations1
Published2025
Admission routes1
Has abstractyes

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