Bibliographic record
Abstract
Un article-récit qui illustre le fait que la traduction littéraire encourage un acte de performativité, dans la durée et la répétition, par l’entremise d’un processus traductif collaboratif, pour le cas présent du récit de vie d’une femme autochtone, They Called Me Number One de Bev Sellars. Cette identification à l’Autre agit à titre de savoir-être voire d’approche traductologique pour la traduction du récit de vie, et d’exercice d’émancipation et de guérison chez les différentes personnes investies dans la production du texte d’arrivée vers le français Matricule « Numéro 1 » : secrets et survie dans un pensionnat autochtone. Leur intimité se voit en partie « déconstruite », et ce, d’un point de vue discursif, linguistique et traductologique. Ce travail de collaboration Autochtone / Allochtone contribue à la conversation nationale entre les diverses communautés autochtones, dont les enfants de plusieurs générations ont fréquenté un pensionnat et y ont subi de la maltraitance.
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 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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.014 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".