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Record W4408401879 · doi:10.3138/ecf.35.3.331

Figuring Jettison in Olaudah Equiano’s <i>The Interesting Narrative</i>

2023· article· en· W4408401879 on OpenAlexvenueno aff
Kevin MacDonnell

Bibliographic record

VenueEighteenth-Century Fiction · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicLinguistic, Cultural, and Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFiguringNarrativeArtLiteraturePhysics

Abstract

fetched live from OpenAlex

The jettison of enslaved people occurred with shocking regularity during the transatlantic slave trade. While this practice has been cited as a quintessential symbol of Black abjection within contemporary scholarship on the African and Black diaspora, it was also formative to the inception of Black literary culture. In this article, I track the representation of jettison across the earliest publications in English by Black writers. I focus on how Black authors writing in English embraced the affordances of literary style when addressing jettison. Although the forced ejection of Black life at sea is rarely represented directly in these texts, it is invoked using literary modes that convey the lived experience of such unspeakable violence. After identifying how figurative renderings of jettison emerge as a foundational trope within the Black literary tradition in English, I explore in greater detail its application in Olaudah Equiano’s The Interesting Narrative (1789), which inverts this trope to mediate the text’s emancipatory aims.

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)0.002
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 score0.008
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.011
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.034
GPT teacher head0.320
Teacher spread0.286 · 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
Published2023
Admission routes1
Has abstractyes

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