Womanhandling Ibsen’s A Doll’s House: Feminist Translation Strategies in a Spanish Translation from 1917
Bibliographic record
Abstract
This article analyzes a 1917 indirect translation of Ibsen’sA Doll’s House(1879) by María Lejárraga (1874-1974) as an example of early feminist translation. Relying on the existing theoretical outcomes at the intersection of gender and translation studies, it proposes a way of analyzing diverse translation strategies as a means for womanhandling the literary text, and thus making the most of the prevailing feminist interpretation of its international reception while reinforcing the budding feminist debate in Silver Age Spain and facilitating a specific understanding of the play. The importance of this case study as an example of early feminist translation is based on several factors: (a) this theatre text had a symbolic value in first wave feminism; (b) this Spanish translation was widespread due to Ibsen’s international fame and the national fame of the (overt) mediator Gregorio Martinez Sierra; (c) the feminist activism of the (covert) translator that made her select the text to spread a “thesis” she deemed necessary in Spain at that time for the developing of feminism; and (d) the numerous interventions at different levels (textual, contextual and paratextual) traceable in the translation.
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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 | 0.007 | 0.007 |
| 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 | 0.009 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".