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Record W4416299681 · doi:10.5539/ells.v15n4p63

Diasporic Anxiety in The Last Gift: Dual Nature and Emotional Community Formation

2025· article· W4416299681 on OpenAlexvenueno aff
Ting Chen, Jiafeng Liu

Bibliographic record

VenueEnglish Language and Literature Studies · 2025
Typearticle
Language
FieldArts and Humanities
TopicPostcolonial and Cultural Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsConstruct (python library)OppressionPerspective (graphical)AnxietyMetaphorIdentity (music)NarrativeDual (grammatical number)Product (mathematics)

Abstract

fetched live from OpenAlex

This study examines the dual nature of anxiety among diasporic subjects in Abdulrazak Gurnah’s The Last Gift. It first identifies anxiety as a product of racial conflict, class oppression, identity disorientation, and generational divides—laying bare its roots. Second, it analyzes how this anxiety is suppressed through the formation of a “Community of Silence” among diasporic groups. Third, it foregrounds anxiety’s role as a catalyst for shattering silence, rekindling emotional bonds, and ultimately transforming individual distress into collective experience. Drawing on Sianne Ngai’s theory of negative affect, this study interprets the metaphor of the “gift” in Abbas’s final deathbed recordings to trace this three-stage trajectory of anxiety. It argues that anxiety, far from being purely destructive, facilitates inter-generational and intercultural emotional connections, enabling diasporic subjects to construct emotional communities rooted in shared affective struggles. This process challenges conventional academic framings of “negative affects” and offers a narrative paradigm for resisting structural oppression in the globalized era—one that resonates with Gurnah’s critique of colonial history and his empathetic portrayal of refugee experiences.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.316
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.002
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 head0.009
GPT teacher head0.249
Teacher spread0.240 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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