Does Hortense Have a Hoo-Hoo? Gender, Consensus, and the Translation of Gisèle Pineau’s L’espérance-macadam
Bibliographic record
Abstract
Does Hortense Have a Hoo-Hoo? Gender, Consensus, and the Translation of Gisèle Pineau's L'espérance-macadam — This article uses an experiment in translating Guadeloupean writer Gisèle Pineau's novel L'espérance-macadam via consensus as a point of departure for analyzing the broader context of translating the French Caribbean for an English-speaking public. Previous efforts at translating recent French Caribbean fiction have focused on the challenge of representing the linguistic spectrum specific to the franco- and creolophone Caribbean. Here, it is suggested that Pineau's particular choices in inflecting French with Creole represent women in important ways, and that an awareness of this gendering of language is germane to translation into English. It is also acknowledged that desires on the part of English-speaking translators are not necessarily innocent but that an awareness of gender and local specificities can contribute to the consensus process entailed in publishing translations and should be part of ongoing debates concerning the French Caribbean in general.
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 | 0.006 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.007 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".