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Record W2331235293 · doi:10.1515/zaa.2010.58.2.103

Stowe and Brown Revisited: Fiction-Made Characters in Ishmael Reed’s Flight to Canada

2010· article· de· W2331235293 on OpenAlexaboutno aff
Corina Crisu

Bibliographic record

VenueZeitschrift für Anglistik und Amerikanistik · 2010
Typearticle
Languagede
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsPostmodernismNarrativeIdentity (music)Character (mathematics)The ImaginaryLiteratureVariety (cybernetics)RewritingHistoryArtAestheticsPsychoanalysisPsychology

Abstract

fetched live from OpenAlex

Debates on Ishmael Reed’s neo-slave narrative Flight to Canada (1979) and its rewriting of African American identity and history can benefit from an in-depth comparative analysis focused on the writer’s reconfiguration of two significant nineteenthcentury figures - the black pacifist and the rebellious mulatto. Drawing on a variety of theoretical and philosophical views as well as on African American studies, this paper discusses the way in which Reed’s novel de/re-constructs the images of the black pacifist and the rebellious mulatto, in close intertextual connection with Harriet Beecher Stowe’s Uncle Tom’s Cabin (1852) and William Wells Brown’s Clotel (1853). If nineteenthcentury authors insisted on self-made models of manhood, Reed’s postmodern writing proposes fiction-made characters, parasitically feeding on earlier texts. In true postmodern fashion, Reed’s heroes refuse to be labeled as either “real” or “imaginary,” to wear only nineteenth-century costumes, and to be pinned down to a certain temporal or spatial dimension. By rewriting the nineteenth-century texts, Reed exposes the conventional versions of black identity that transform “black history into mythic fiction,” warning us that we should be equally afraid of romanticized or demonized representations of the African American character (Campbell 1986, xi)

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)0.004
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 score0.425
Threshold uncertainty score0.856

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0200.029
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.006
GPT teacher head0.238
Teacher spread0.232 · 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

Citations0
Published2010
Admission routes1
Has abstractyes

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Same venueZeitschrift für Anglistik und AmerikanistikSame topicShort Stories in Global LiteratureFrench-language works237,207