Gender, genetics, translation: Encounters in the Feminist Translator's Archive of Barbara Godard
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The article demonstrates the usefulness of textual genetics in corroborating the dynamic, process-oriented concepts of translation developed by feminist translation theorists. Focusing on the Canadian scholar and translator Barbara Godard, the paper examines her translation manuscripts of Nicole Brossard’s L’Amèr: ou le chapitre effrité (1977) and Amantes (1980), published in English as These Our Mothers (1983) and Lovhers (1986). The author argues that genetic analysis has the potential to challenge conventional understandings of translation as a linear transfer of meaning in the exchange of equivalences and that genetics can supply evidence that translation is a multidirectional, recursive and dialogical process of thought and transformation, a creative combination rather than a transparent substitution of meaning. The graphic markings, layerings, and inscriptions on the archival drafts reveal complex intersubjective and interdiscursive foldings at the heart of translation and expose translation as a series of temporal re-readings. They bring into view different encounters and relationalities and reaffirm the view of translation as a cultivation of friendship and collaboration.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it