Translation into english of Marie-Célie Agnant's "Vingt petits pas vers Maria" and "Le Noël de Maïté" accompagnied by a study of the author, her oeuvre and her place in Canadian literature
Bibliographic record
Abstract
Abstract : This thesis is divided into two parts: the first part provides an introduction to my translations from French into English of two children's books by Haitian-Canadian writer Marie-Célie Agnant: Vingt petits pas vers Maria, a short story about domestic workers living in Montréal, and Le Noël de Maïté, a story about a girl spending Christmas in Canada with her Haitian grandmother. I give a short overview of Marie-Célie Agnant, her literary oeuvre, and her reception in Canada. I discuss the Haitian diaspora, especially within the Canadian context. I include an overview of some writers, men and women, from Haiti who have produced migrant writing. I then describe the place of minority writing in Canada and draw parallels between Agnant and Dionne Brand, Makeda Silvera and Althea Prince, English-language writers in Caribbean-Canadian literature who address Black women's realities in Canada. Like these women, Agnant writes to fight the silence that is imposed by racism and sexism. The introductory essay concludes with comments on my translation process and examples of my translation strategies. The second part of this thesis consists of my two translations, Twenty Tiny Steps Towards Maria and Maïté's Christmas . These are the first of Agnant's young adult books to be translated into English. Also included in this section are my translations of the appendices of these two books, which include notes, questions, games, interviews and recipes designed to make the books more interactive for children and teach them about Haiti and the life of immigrants in Canada||Résumé : Ce mémoire de maîtrise se divise en deux parties. La première partie est une introduction à mes traductions vers l'anglais de deux livres de jeunesse de l'auteur québécoise d'origine haïtienne, Marie-Célie Agnant, Vingt petits pas vers Maria, l'histoire d'immigrantes domestiques vivant à Montréal, et Le Noël de Maïté, l'histoire d'une fille qui passe Noël au Canada avec sa grand-mère haïtienne. Je donne une courte biographie de Marie-Célie Agnant, en décrivant son oeuvre littéraire et sa réception au Canada. Je fais un bilan de la diaspora haïtienne avec une attention surtout à la situation du Canada. J'inclus un survol d'auteurs haïtiens, hommes et femmes, qui ont publié de la littérature migrante au Canada. Ensuite, je décris la place de l'écriture minoritaire au Canada et j'indique des parallèles entre Agnant et certaines écrivaines canadiennes d'origine antillaise qui écrivent en anglais, dont Dionne Brand, Makeda Silvera et Althea Prince, qui se sont penchées sur la situation de la femme noire au Canada. Comme ces femmes, Agnant écrit pour combattre le silence imposé par le racisme et le sexisme. Je termine cette partie avec des commentaires sur mon processus de traduction et mes stratégies de traduction, prenant des exemples de mes traductions. La deuxième partie présente mes traductions, Twenty Tiny Steps Towards Maria et Maïté's Christmas. Ceux-ci sont les premières traductions en anglais des livres de jeunesse d'Agnant. On trouve aussi dans cette section ma traduction des annexes des deux livres, qui contiennent des notes, des questions, des jeux, des entrevues et des recettes, qui ont I'objectif de faire une activité interactive de la lecture de ces livres et d'apprendre aux jeunes lecteurs davantage sur la vie en Haïti et la situation des immigrants au Canada.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.020 | 0.004 |
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".