Ages of Cruelty: Jacques Derrida, Fethi Benslama, and their Challenges to Psychoanalysis
Bibliographic record
Abstract
For Jacques Derrida, one of the most urgent tasks of philosophy today is to think “sovereignty” and the ways in which it is inseparable from the two “ages” of cruelty of today’s wars: one techno-scientific, from which the “cruor” of blood seems to have been wiped away, and another, bloodily “archaic,” reacting savagely to the first. Derrida and the French-Tunisian psychoanalyst Fethi Benslama assert that these two “ages” of cruelty are closely intertwined, and that for both of them, today’s media play a crucial role. For Derrida, the “revolution of psychoanalysis” would consist in addressing cruelty without alibi, without political, moral, theological, or other justifications, while refusing to neutralize ethics and politics, that is, the specific geo-political realm in which psychoanalytic theory and practice intervene. In this spirit, Benslama attempts an analysis of the particular new cruelty some Middle-Eastern countries are confronted with today.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".