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Record W2326844708 · doi:10.1080/02639904.2015.1124216

Displacing Dessalines, or the Transatlantic Geographies of Lamartine’s<i>Toussaint Louverture</i>

2015· article· en· W2326844708 on OpenAlexaff
Clint Bruce

Bibliographic record

VenueRomance Studies · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicCaribbean and African Literature and Culture
Canadian institutionsUniversité Sainte-Anne
Fundersnot available
KeywordsOpposition (politics)PoliticsIdeologyDramaEmancipationIndependence (probability theory)Context (archaeology)ArtLiteratureArt historyHistoryClassicsLawPolitical scienceArchaeology

Abstract

fetched live from OpenAlex

Alphonse de Lamartine’s verse drama Toussaint Louverture (1850) stands out as one of the most earnest attempts by a nineteenth-century European writer to grapple with what Michel-Rolph Trouillot has called the ‘unthinkable history’ of the Haitian Revolution. Originally composed to promote abolition of slavery in France’s colonies, the play was not staged until two years after emancipation and after Lamartine’s precipitous fall from political grace. In this context, Toussaint Louverture seemed to offer a defence of Lamartine’s own political legacy. The work has thus been interpreted as an attempt by the author to identify himself with his protagonist, a messianic leader of the Haitian people. This essay examines the transatlantic geography that structures this ‘poème dramatique’. In projecting an ideal nation, France and Haiti are set up in chiastic opposition, and this transatlantic chiasmus only becomes possible through a series of anatopisms, or erreurs de lieu. The central argument holds that this dramatic construction, centred on Toussaint, works to erase or rather displace another key Haitian leader, Jean-Jacques Dessalines, the ultimate author of his country’s independence and a radical figure far less amenable to French Republican ideology.

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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.370
Threshold uncertainty score0.274

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 studies0.0000.001
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 head0.065
GPT teacher head0.265
Teacher spread0.200 · 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
Published2015
Admission routes1
Has abstractyes

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