Bibliographic record
Abstract
The following article focuses on the American Anthology by Dany Laferrière, a writer originally from Haiti who decided, following his voluntary exile in Québec, to publish exclusively in Montreal and in French and to live in Miami. "Auteur déplacé", he does not like classifications: black, Haitian, French, Quebec, etc., but is considered an American writer tout court. His Americanness, accompanied by an opaque, nomadic and wandering writing style, reveals a plural identity belonging and a hybrid cultural belonging. Montréal, Miami, New York are just his writing spaces, because for Laferrière literature is a journey and not a place of confinement. L'article suivant est axé sur l'Anthologie américaine de Dany Laferrière, écrivain originaire de Haïti qui a néanmoins décidé, à la suite de son exil volontaire au Québec, de publier exclusivement à Montréal et en français et de vivre à Miami. “Auteur déplacé”, il n'aime pas les classifications (noir, haïtien, francophone, québécois, etc.), mais il se considère comme un écrivain américain tout court. Son américanité, accompagnée d'une écriture opaque, nomade et errante, révèle une appartenance identitaire plurielle et une appartenance culturelle hybride. Montréal, Miami, New York ne sont que ses espaces d'écriture car, pour Laferrière, la littérature est un voyage et non pas une frontière.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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.
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".