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Record W2912163297 · doi:10.1353/ari.2019.0000

In Memoriam Professor Geoffrey V. Davis

2019· article· en· W2912163297 on OpenAlexaboutno aff
Pamela McCallum

Bibliographic record

VenueAriel · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican studies and sociopolitical issues
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousColonialismThe artsEconomic JusticeCommonwealthSociologyResistance (ecology)Art historyMedia studiesHistoryClassicsLawPolitical science

Abstract

fetched live from OpenAlex

Focusing on the formal methods of two modernist works of Cold War-era black Atlantic fiction, William Demby's Beetlecreek (1950) and George Lamming's In the Castle of My Skin (1953), the article examines the authors' respective positions of exile in Rome and London and choice to pen their debut, semi-autobiographical coming-of-age novels, set in the 1930s, with existential undertones-Demby's in a small segregated town in the Southern United States and Lamming's in a small colonial village in the Caribbean.Demby and Lamming use aesthetic modes of defamiliarization as a liberatory strategy, adopting modernist formal and temporal strategies to estrange structures of oppression.The essay argues for reading the authors' novels beyond national and canonical boundaries as part of a larger body of black Atlantic literature that deconstructs racialized regimes in the Global South.I conclude with a brief reading of each writer's intersections with Langston Hughes and Richard Wright, positing mobile networks of black diasporic affiliation forged in a period of global flux and transformation.This article compares two writers normally read only in distinct African American, Afro-Caribbean, and/or Black British contexts and calls attention to their shared priorities of black modernist innovation and politico-aesthetics.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.069
Threshold uncertainty score0.232

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0070.004
Open science0.0030.004
Research integrity0.0040.011
Insufficient payload (model declined to judge)0.0690.059

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 head0.343
Teacher spread0.326 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2019
Admission routes1
Has abstractyes

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