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Record W2998352271 · doi:10.1093/adaptation/apz031

‘I Am Also Having Mother Once, and She Is Loving Me’: Reading Cary Joji Fukunaga’s Beasts of No Nation in a Post-Network Era

2019· article· en· W2998352271 on OpenAlexaff
Heather Snell

Bibliographic record

VenueAdaptation · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicPostcolonial and Cultural Literary Studies
Canadian institutionsUniversity of Winnipeg
Fundersnot available
KeywordsNarrativeReading (process)White (mutation)Interpretation (philosophy)Character (mathematics)Adaptation (eye)Power (physics)ArtInterrogationComicsMedia studiesAestheticsHistorySociologyVisual artsLiteraturePolitical sciencePsychologyComputer scienceLaw

Abstract

fetched live from OpenAlex

Abstract This article examines Cary Joji Fukunaga’s film adaptation of Uzodinma Iweala’s Beasts of No Nation, with a special focus on the final scene, in which a counsellor is assigned to help the protagonist deal with the trauma of having been a child soldier. While the casting of a black African actor as the counsellor in Fukunaga’s film may appear to detract from the novel’s interrogation of the uneven power relations between Africa and America, an interpretation oscillating between novel and film reveals that there may be some benefits to erasing the white saviour figure from the scene. The erasure of a white American character not only redirects the focus to relations among Africans but also comments indirectly on the circulation of transnational films via streaming services such as Netflix. Reading in between adapted text and adaptation also yields some important insights about Beasts’ critical engagement with the politics of circulation, reception, and consumption of child-soldier narratives at a time when such narratives have become popular among transnational audiences.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.706
Threshold uncertainty score0.322

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 studies0.0000.000
Scholarly communication0.0000.001
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 head0.017
GPT teacher head0.206
Teacher spread0.189 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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