Bibliographic record
Abstract
The short story Le Mulâtre (1837) recounts the tragic history of a slave during Haiti’s turbulent 1790s. The first published work of Victor Séjour, it is the first known work of fiction by an African-American writer. At first glance a typical melodramatic tale of brigands, betrayal and revenge, the work is anything but typical in its stark depiction of Caribbean slavery and in its sophisticated use of narration and voice. Written when slavery was still being practiced by both France and the United States, this overt yet sensitive critique is a triumph of the narrative art.This article highlights a modern Structuralist analysis of narration. Séjour not only moves subtly through levels of narration but also through shifts of point of view within discourse and even within speech acts which form an almost unconscious commentary on the action. Moreover, the apparently standard tragic trope is undermined by a complex weaving of life histories in which the triumph of humanity overturns the notion of tragic loss. Thus a story of oppression and inevitability is structured within a voice of commentary, insight, and agency: Séjour succeeds in connecting the humanity on both sides of an inhuman war and in underscoring what is at stake for both master and slave in the continued exploitation of human being by human being.
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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 | 0.011 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.009 | 0.047 |
| Scholarly communication | 0.020 | 0.022 |
| Open science | 0.003 | 0.011 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".