Rewriting the intersex body: On the opera adaptation of Herculine Barbin’s Memoirs
Bibliographic record
Abstract
Herculine Barbin’s memoirs, published by Foucault in 1978, are considered the first testimony of an intersex person. Barbin’s story has been adapted several times, including in a 19th-century German short story and in a 1985 French film. In addition, the translation of the memoirs has been analysed from queer perspectives (Rose, 2021) due to the protagonist’s gender undecidability. This undecidability surfaces not only in translation but also in the memoir’s audiovisual rewritings, including most recently, the opera Alexina B. (García-Tomás, 2023) which premiered in Barcelona. This paper analyses the rewriting process in this multimodal (textual/audiovisual) and intralinguistic (French) translation/adaptation. Alexina B. was created after a research process not only on the historical character, but also on the (historical) intersex experience. This article’s analytical framework is based on queer and feminist approaches applied to Translation Studies, and on the notions of rewriting and translation as adaptation, practices through which the ethos is reworked (Spoturno, 2022). This framework serves to analyse the different adaptations (story, film and opera) and to argue that the opera presents a more queer-conscious narrative and a character who, despite being a victim of the social constraints of her time, was also master of her non-normative sexuality and desire.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.021 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".