Jelinek’s Rechnitz and Greenberg’s The Testament: Two Executions of One Massacre
Bibliographic record
Abstract
Holocaust as entertainment? Millions of people participated in the Holocaust actively, involuntarily, or as bystanders. Holocaust survivors and Hollywood writers have brought very different historic facts to life. This study meets at the intersection of historical drama and dramatic history in two different formats: cinema and theater. It explores the relationship between the Israeli/Austrian film The Testament (2017), and Elfriede Jelinek’s play Rechnitz (2008), and the historical accuracy of both. Film and play skillfully reflect the clash between selective pasts and different presents, exemplified by a massacre of Jews during the last days of WWII in the Austrian town of Rechnitz. Although the format and genre of both pieces differ, their renditions reveal significant parallels. Their admonishing tone evokes a discussion about guilt, responsibility, and the past. Director and writer Amichai Greenberg depicts the search for the mass grave. Elfriede Jelinek centers her play on the guests who committed the horrendous murder, and the residents who have made every effort to forget and deny.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.018 | 0.007 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.013 | 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".