Borders and Betrayal in Zora Neale Hurston’s <i>Barracoon</i>: Rethinking Truths and Facts in the American Slave Narrative
Bibliographic record
Abstract
Due to skepticism about authenticity, facts became a central trope in the American slave-narrative genre. Authors bolstered their credibility by emphasizing factual details about the barbarity of enslavement on Southern plantations. Based on interviews conducted with Cudjo Lewis, believed to be the last known surviving African slave in America, Zora Neale Hurston’s posthumously published Barracoon expands the slave narrative’s borders by unpacking the ramifications of transnational betrayal. Lewis’s harrowing memory of the African culprits who captured and sold him to white slave traders complicates the slave narrative’s adherence to facts. Although the transatlantic slave trade, created and operated by Europeans and Americans, was a greater evil than the slave-trading practices carried out by Africans, Lewis’s betrayal by his own African neighbours reveals an existential trauma often ignored by the facts of slave narratives. Barracoon is Hurston as her most subversive, choosing to explore the unresolved complications of a truthful lived experience instead of the clarifying comfort of contained facts.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.019 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".