“Hollow Men” and <i>Übermenschen</i>: The Aporia of Competing Intertextual Motifs in Elfriede Jelinek’s <i>Rechnitz (Der Würgeengel)</i>
Bibliographic record
Abstract
Elfriede Jelinek’s 2009 play, Rechnitz (Der Würgeengel), concerns the 1945 massacre of approximately 180 Jewish men in the eponymous town of Rechnitz. Like much of Jelinek’s oeuvre, the play brings Austria’s fraught relationship with its National Socialist past into question, for which the Rechnitz massacre is an analogy. In the postdramatic appropriation of the Greek chorus that dominates her work, Jelinek crafts a distinctive pastiche of (often creatively [mis]appropriated) intertextual imagery to decidedly satirical effect. The diametric contradiction between the intertextual motifs of Friedrich Nietzsche’s Übermensch and T. S. Eliot’s “hollow man” in Rechnitz (Der Würgeengel) poses a double standard and a fundamental aporia. On the one hand, the perpetrators’ weakness is applauded, while on the other, the massacre victims are derided for being too weak to prevent their own deaths. Such a contradiction signals Jelinek’s trademark postdramatic satire, and in turn the duplicitousness she posits as inherent to the myth of Austrian non-participation in the Holocaust.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.025 |
| Scholarly communication | 0.012 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 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".