Dionysus versus the Crucified: Thinking the Death of God with Heidegger, Girard, and Bataille
Bibliographic record
Abstract
Abstract Girard has argued that in the opposition between “Dionysus” and “the crucified,” Nietzsche contrasts Christian martyrdom that resolves violence through pacifism with pagan festivals that affirm violence by ritualizing it. In agreement with Girard, this article shows how Heidegger’s discussion of nihilism fails to ethically confront the violence of Nietzsche’s Dionysianism, a criticism that applies equally to Deleuze. However, I argue that Bataille’s reading of Nietzsche confronts the violence in a manner that Girard fails to appreciate. Bataille interprets ritual sacrifice as a drama communicating the loss of identity experienced by those who contemplate the spectacle. Bataille demonstrates the complicity between Dionysian and Judeo-Christian martyrdom insofar as both implicate human beings in the violence of evil that the death of God consummates.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.008 | 0.042 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".