THE EMPIRE BUILDER: WAR AND THE SUBJECT OF THE HUMANITIES
Bibliographic record
Abstract
In Carl von Clausewitz's 1832 political treatise On War, the military general is given the form of the humanist scholar. But it isn't until the establishment in the United States of the discipline of the Humanities, between the world wars, that this traditional figure of knowledge is given official discursive status. Using Clausewitz and the rhetoric of the most recent "crisis in the Humanities", we pose the question, "where in fact are our military institutions located?". In order to show the interdependence of these two apparently discrete histories, one would have to redefine modern warfare and humanist scholarship in terms of each other. To this end, we frame the humanist ideals of rational debate, erudition and cultural appreciation, and the production of truth and beauty, as historically linked to the epistemology of war. We address a recent tactical example of this perpetual war — the closing of the humanities department at the University of Minnesota.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.039 |
| Scholarly communication | 0.010 | 0.010 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| 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".