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Record W4407127170 · doi:10.33137/q.i..v44i3.44808

Transgenerational Colonial Trauma and Disordered Eating in the Work of Maaza Mengiste and Igiaba Scego

2025· article· en· W4407127170 on OpenAlexvenueno aff
Noreen Kane

Bibliographic record

VenueQuaderni d italianistica · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican history and culture studies
Canadian institutionsnot available
Fundersnot available
KeywordsTransgenerational epigeneticsColonialismDisordered eatingWork (physics)PsychologyPsychoanalysisEating disordersHistoryClinical psychologyArchaeologyEngineeringBiology

Abstract

fetched live from OpenAlex

This essay analyzes how Ethiopian American Maaza Mengiste’s novel Beneath the Lion’s Gaze (2010) and Somali Italian Igiaba Scego’s memoir La mia casa è dove sono (My Home Is Where I Am, 2010) represent transgenerational colonial trauma through their female protagonists’ relationships to food. Employing Nicholas Abraham and Maria Torok’s theory of transgenerational haunting, the corporeal transmission of Italian colonial trauma is explored. To supplement classic trauma theory, the work of Afrofeminist scholars who posit the importance of intersubjectivity in approaches to trauma is employed. The essay thus explores how these two literary texts render the legacy of colonial violence visceral through an emphasis on the body, the process of transforming somatic symptoms into narrative, and the necessity of community building to working through generational trauma. In their contribution to the formation of a transnational collective memory of Italian colonialism in Ethiopia and Somalia, the texts invite the reader to consider their position in relation to this trauma.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.768
Threshold uncertainty score0.424

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
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 head0.023
GPT teacher head0.288
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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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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