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Race, Nation and Cultural Power in Film Adaptation

2023· book· en· W4391105285 on OpenAlexaboutno aff
Gillian Roberts

Bibliographic record

VenueEdinburgh University Press eBooks · 2023
Typebook
Languageen
FieldArts and Humanities
TopicShakespeare, Adaptation, and Literary Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousColonialismAppropriationNarrativeAestheticsLiterary criticismMagic realismSociologyHybridityGender studiesHistoryLiteratureAnthropologyArtLinguistics

Abstract

fetched live from OpenAlex

The first full-length study of postcolonial, settler-colonial and Indigenous film adaptation, encompassing literary and cinematic texts from Australian, Canadian, New Zealand, Indian, British, and US cultures, this book rethinks adaptation in the context of race and nation. It interrogates adaptation studies’ rejection of ‘fidelity criticism’ to consider the ethics and aesthetics of translating narratives from literature to cinema and across national borders for circulation in the global cultural marketplace. It traces the circulation of cultural power through these adaptations as they move into new contexts and find new audiences, often at a considerable geographical remove from the production of the source material. Further, this book assesses the impact of national and transnational industrial contexts of cultural production on the film adaptations themselves. Individual chapters focus on feminist inflections, where the adaptation foregrounds a postcolonial or settler-colonial positioning at the same time as it produces a feminist critique of canonical fiction; salvaging slavery subtexts, where the adaptation enhances the canonical literary text’s subtle invocations of slavery; relocating racism, where the national setting changes from source text to film, enabling an interrogation of race relations and cultural hierarchies; magic realism, where the literary text’s blurring of realism and fantasy presents opportunities and challenges for visual representation; cultural appropriation, where Indigenous peoples’ culture is represented by settler-colonial culture; ‘told-to’ adaptations, where non-Indigenous filmmakers adapt Indigenous texts; and Indigenous self-representation and self-determination, where Indigenous peoples represent their own cultures, producing the original text and its adaptation.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.760
Threshold uncertainty score1.000

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 communication0.0000.000
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 head0.047
GPT teacher head0.215
Teacher spread0.168 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2023
Admission routes1
Has abstractyes

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