Mémoire et écriture dans «Auschwitz et après» de Charlotte Delbo
Bibliographic record
Abstract
Research on women's testimonial accounts of the camps, which developed in the 1980s and 1990s in the UK and North America, following Joan Ringelheim's pioneer work, has yet to expand into France. The present MA thesis focuses on Charlotte Delbo's memoirs, entitled Auschwitz and After. Résistante and communist, Delbo (1913-1985) was sent to Auschwitz in January 1943 as a French political prisoner. She was freed by the Red Cross on 23rd April 1945 along with forty-eight other survivors from her convoy. Immediately upon her return, she began to write her memoirs, bearing the responsibility for carrying the word. Her testimony, which is composed from a distinctly feminine perspective, goes far beyond relating her own experience of the Lager and its aftermath. Indeed, Delbo re-counts and re-presents both the individual and collective experiences of women in the camp. Above all, the author wanted to make people see and feel, providing her readers with insight into trauma. Her trilogy, both poetic and strikingly beautiful, constitutes a reconstruction (or a re-creation) of memory and its fragments, and transcends boundaries of literary conventions, espousing a hybrid, a-chronological and fragmented form. In my MA thesis, I first address the ethical obligation binding survivors to remember and pass on their experiences. I then move on to analyse Delbo's portrayal of the camps and her treatment of language when faced with the unspeakable, thus highlighting the literary strategies used to counteract its limits and to convey her experience and trauma. Finally, I examine the subjective markers of a feminine perspective inscribed in her writing.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.015 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| 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".