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Record W4403709123 · doi:10.5744/jgps.2024.1221

“The Face of the Buffalo”: Interspecies Relationality in Nawal El Saadawi’s God Dies by the Nile 

2024· article· en· W4403709123 on OpenAlexaff
Uchechukwu Umezurike, Ademola Adesola

Bibliographic record

VenueJournal of Global Postcolonial Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsMount Royal UniversityUniversity of Calgary
Fundersnot available
KeywordsFace (sociological concept)ArtSociologySocial science

Abstract

fetched live from OpenAlex

In several interviews, the Egyptian American writer and feminist Nawal El Saadawi has emphasized her commitment to women’s rights and gender justice in Africa and the Arab world. However, there is hardly any reference regarding her engagement with animals. Yet her writing is replete with animal subjectivity. Therefore, this paper examines animal representations in El Saadawi’s God Dies by the Nile by unearthing what we conceptualize as her “complex animal imaginary,” a concept encompassing the anthropomorphic and zoomorphic currents in her novel. Although her narrative language constitutes and conveys such vocabularies, this hardly undermines El Saadawi’s recognition of interspecies relationality and how central the nonhuman is to the flourishing of humans. As such, we highlight her register of animality that presents humans in zoomorphic imagery, stressing that this strategy not only makes legible human suffering but also flattens animal subjectivity, thereby reducing the buffalo, named Aziza, in this case, to a figure of abjection. However, we argue that this representational strategy neither erases animal vitality nor reinscribes speciesism. But instead, it uncovers animal suffering in society. By focusing on interspecies relationality in God Dies, we amplify El Saadawi’s contribution to ongoing conversations on animal studies, postcolonial ecocriticism, and posthumanism.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.375
Threshold uncertainty score0.983

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.026
GPT teacher head0.351
Teacher spread0.325 · 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 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

Citations1
Published2024
Admission routes1
Has abstractyes

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