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Record W7112556974

A Generation of Witnesses: Neo-Testimonial Practices in Flight to Canada, Dessa Rose, Beloved, Kindred, and the Chaneysville Incident

2007· article· en· W7112556974 on OpenAlexaboutno aff

Bibliographic record

VenueDigiNole (Florida State University) · 2007
Typearticle
Languageen
FieldArts and Humanities
TopicLiterature: history, themes, analysis
Canadian institutionsnot available
Fundersnot available
KeywordsNarrativePostmodernismReciprocalMerge (version control)Public historyHistoriography
DOInot available

Abstract

fetched live from OpenAlex

Scholar Henry Louis Gates, Jr. observes that "fact and fiction have always exerted a reciprocal effect on each other" ("Authenticity" 29). Authors of neo-slave narratives – postmodern renderings of the slave experience – illustrate this reciprocation as they engage in the inventive (re)telling of historical events from the privileged vantage of the present. This study examines the role imagination plays in reconstructing a marginalized, forgotten past. Additionally, this study discerns the neo-testimonial patterns – the narrative techniques inspired by the languages, experiences, and memories of the African diaspora – that the neo-slave narrative authors employ as they merge history with imagination in the creation of a fictionalized history. Although critics have already noted the existing relationship between history and fiction in these narratives, how authors finesse the line between history and imagination deserves closer examination. This study looks carefully primarily at Ishmael Reed's Flight to Canada, Sherley Anne Williams' Dessa Rose, Toni Morrison's Beloved, Octavia Butler's Kindred, and David Bradley's The Chaneysville Incident. By examining the dynamics of the commingling of history and imagination in these narratives, this study contributes to an understanding of the role of rememory and/or embellishment in the neo-slave narrative (sub)genre.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.969
Threshold uncertainty score0.575

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 head0.026
GPT teacher head0.205
Teacher spread0.179 · 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 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
Published2007
Admission routes1
Has abstractyes

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