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Record W1541872353

Rough Play: Reading Black Masculinity in Austin Clarke’s “Sometimes, a Motherless Child”and Dionne Brand’s What We All Long For

2009· article· en· W1541872353 on OpenAlexaffvenue
Phanuel Antwi

Bibliographic record

VenueStudies in Canadian Literature · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMasculinityNarrativeGender studiesSociologyReading (process)PatriarchyArtLiteratureLawPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Austin Clarke’s short story “Sometimes, a Motherless Child” and Dionne Brand’s novel What We All Long For are narratives about blackness and masculinity; they offer literary-historical documents that comment on a cultural moment in a cultural system that frames black men within hateful cultural projections. The main characters in each story refuse to be pigeonholed into conventionally racialized black macho identities; Oku and BJ embrace radical discontinuities within performances of black masculinity and change masculine codes in order to survive. Such performances rupture the overdeveloped images of black men as aggressive, hyper-sexualized “thugs” or “hoodlums” by exposing the faulty assumptions within those images. Rather than abiding by the monadic conceptions of black patriarchy or of black solidarity, Brand and Clarke retexture depictions of black men to offer multi-textual black subjects who enact varieties of black masculinity.

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)0.001
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.492
Threshold uncertainty score0.990

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0210.024
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.037
GPT teacher head0.339
Teacher spread0.303 · 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
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
Published2009
Admission routes2
Has abstractyes

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