Buried Words: a forum on sexuality, violence and Holocaust testimonies
Bibliographic record
Abstract
This Forum is a discussion among six contributors deeply familiar with the challenges of analyzing survivor testimony, each with a distinct methodological approach to the topic of sexual violence and the Holocaust. Topics addressed in the discussion include the challenges posed by studying survivor testimonies to learn about sexual violence, the theme of silence and how scholars can mitigate the role they play in reinforcing it, how gender as a category of analysis intersects with other approaches, considerations related to age and memory, and the role of the audience in shaping how survivors communicate their experiences. The Forum discussion grew out of a scholarly conference held in Toronto in October 2018, titled Buried Words: A Workshop on Sexuality, Violence and Holocaust Testimonies. The workshop was organized by the Azrieli Foundation’s Holocaust Survivor Memoirs Program and was inspired by its publication of several memoirs detailing experiences of sexual abuse and violence and other sexual encounters during the Holocaust, including Buried Words: The Diary of Molly Applebaum. This Forum features several of the participating scholars in conversation, addressing important questions that arose during the workshop.
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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 | 0.010 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.017 | 0.009 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.003 | 0.017 |
| Research integrity | 0.008 | 0.009 |
| Insufficient payload (model declined to judge) | 0.017 | 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".