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Record W3139114331 · doi:10.1353/tfr.2017.0078

Passion Haïti par Rodney Saint-Éloi

2017· article· fr· W3139114331 on OpenAlexaboutno aff
Linda Alcott

Bibliographic record

Venue˜The œFrench review · 2017
Typearticle
Languagefr
FieldArts and Humanities
TopicCaribbean and African Literature and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsPassionHomelandSAINTDepictionMovie theaterArt historyPoetryNarrativeHistorySociologyArtLawLiteraturePolitical sciencePsychology

Abstract

fetched live from OpenAlex

Reviews 263 make ethical cases for the place of death as an event for others beyond that of one’s passing out of life. The neighbor’s anonymity in this narrative is also significant as a commentary on the universal nature of this situation. Roland not only left the neighbor his dog and his ashes but also an inheritance. The neighbor is annoyed by his inability to transfer the dog and Roland’s ashes to others but in the process meets Chantal who was Roland’s masseuse every Tuesday. The combination of all three gifts from Roland makes the neighbor rethink his own values and priorities as he wonders whether, at almost forty years old, he has thus far wasted his life. Opportunities do turn up for the neighbor to save himself as he deals with the unwanted legacies from Roland. As he looks at Roland’s life, he wonders whether Roland is now reaching out to him beyond his death: “[I]l s’est vengé après sa mort” (77). Trinity University (TX) Roland A. Champagne Saint-Éloi, Rodney. Passion Haïti. Québec: Septentrion, 2016. ISBN 978-2-89448847 -8. Pp. 205. In this rich depiction of his homeland, Saint-Éloi presents extensive cultural and personal background while describing his beloved Haiti and his haïtianité. Currently living in Montreal, as he has since 2001, the author offers, among other topics, poetic descriptions of his initial decision to choose exile, his indisputable Haitian roots and its many literary influences, as well as the intense love he holds for his grandmother, Tida, who gifted him with lessons of life and learning well beyond her own abilities. Incorporating much of what other contemporary Haitian writers underscore and struggle with in their works today, including how to help lessen an all too prevalent “misérabilisme mercantile” (22) associated with the country while acknowledging its continuing litany of problems, Saint-Éloi walks this writer’s tightrope quite effectively by describing the good and bad in Haiti, past, present, and future. Readers will appreciate the broad and somewhat innocent inspiration that initially prompted the author’s decision to leave Haiti:“Quand on habite une île, le regard se porte ailleurs et le verbe à conjuguer à tous les temps, c’est bien celui de partir”(9), as well as his more pointed and critical reasoning regarding his decision: “Je suis parti. On ne sait jamais trop les raisons. Les justifications ne tiennent pas. On tente toute sa vie de se convaincre que partir était la meilleure des décisions. Je suis parti pour fuir cette marée d’amertumes [...]. Ce jeu d’abattage, exercice exacerbé de haine et de mépris, me répugne. Ce sport d’élite pour qui est plus beau, qui est plus clair, qui est plus propre, qui est plus intelligent et plus séduisant [...] finit part tuer les âmes” (17). The two distinct, fluctuating points of view, that of the grateful native son and the now-seasoned exiled observer, are expressed throughout with the uncomplicated desire to offer something new amid the seemingly endless clamor of societal misconceptions: “Je voudrais pouvoir parler comme un enfant parle, sans concession, sans trop de précautions, libre et passionné avec la rage de vivre et la lumière de la vérité, et surtout avec le plus grand plaisir de raconter. Il faut de nouvelles narrations à Haïti” (22). Additional topics treated in this insightful narration include a tribute to his birthplace, Cavaillon, a short treatise on Haitian voodoo, “L’île magique où les hommes et les dieux se tiennent la main” (138), and a frank examination of color bar issues that continue to divide: “Le noirisme, autant que le mulâtrisme, sont des plaies qui tuent. La République se mue en 10 millions de complexés qui se battent autour de la couleur de la peau” (191). Finally, the moving acknowledgment by Saint-Éloi in the last chapter that he owes his reading ability to his grandmother who could not read—“En fait, tu m’as donné ce que tu n’as pas. Tu m’as donné le verbe donner”(204)—reminds us all of the selfless gifts and true courage...

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 categoriesScience and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.483
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.029
GPT teacher head0.253
Teacher spread0.224 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2017
Admission routes1
Has abstractyes

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