Bibliographic record
Abstract
René Girard argues that violence and the sacred are inseparable, yet how do the political boundaries of sacrifice shift when state violence is privatized and increasingly disembodied? This article provides a Foucauldian challenge to Girard by invoking the mutually reinforcing problem of military privatization and drone warfare. Using Foucauldian work on race and biopolitics, I will explore how military privatization permits states to (precariously) call for the end of sacrifice. I trace the genealogical trajectories of the citizen-soldier to argue that military privatization, as exemplified by the burgeoning industry of private military and security companies and the current American administration’s use of drone warfare, allows for the removal of sacrifice as a feature of the post-World War II social contract between states and citizens. Historically, the sacrifices of citizen-soldiers have been consecrated within the boundaries of the nation and memorialized in a way that allows for both the production of shared collective memory and a projected future-oriented discourse of unification through shared national or ethnic destiny. Drones, as the technological extension of the philosophy of military privatization and the high-tech expression of ‘pre-modern’ violence, reveal tensions between embodied combat, citizenship and sacrifice.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.069 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".