Tout bouge autour de moi de Dany Laferrière au crible de l’éthique décoloniale de Fritta Caro
Bibliographic record
Abstract
Dans le présent article, j’aborde Tout bouge autour de moi, un essai de Dany Laferrière au crible d'une méthodologie éthique proposée par Helena Martín Franco, une artiste colombienne établie au Québec, afin de désarmer le stéréotype du "pays maudit" que le discours occidental a posé sur Haïti. La méthodologie proposée par Martín Franco m'amène au-delà de l'écriture de Dany Laferrière jusqu'aux origines racistes et colonialistes du stéréotype expliqué dans l’œuvre d’un historien haïtien qui fait une brève apparition dans son essai, Michel-Rolph Trouillot. De cette façon, j'amorce une exploration des possibilités épistémologiques et pédagogiques du discours des artistes latino-américains et caribéens établis au Québec en établissant une relation dissonante en celui-ci et les visions stéréotypées de cette région.
Stored with the screening record, where it is evidence for the labels above.
How this classification was reachedexpand
The three-model screen
all 5,600 screened works →All three models called this out of scope.
French-language literary analysis of a Dany Laferriere essay through a decolonial ethical lens.
It applies an ethical methodology to literary and colonial discourse rather than studying research.
Literary/cultural reading of Laferrière via decolonial ethics; humanities analysis, not research studies.
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 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.018 | 0.024 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| 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".