Discriminating Tastes: ‘Smart’ Bombs, Non-Combatants, and Notions of Legitimacy in Warfare
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Much has been made in recent years of the remarkable technological advances driving what has been described as the latest Revolution in Military Affairs (RMA). Typically, however, a disproportionate emphasis on the astounding capabilities of new military hardware has come at the expense of investigations into the socio-political consequences of the transformation of warfare presently underway. Reflection upon the less neglected social aspects of previous RMAs is instructive, suggesting that technological determinism does not yield reliable accounts of the most important implications of new military technologies. In light of this, a historically informed reconsideration of prevailing assessments of the nature and significance of the current RMA seems in order. In particular, rapidly evolving attitudes toward discrimination between combatants and non-combatants in warfare are in need of consideration, as these have traditionally been bound up with watershed military innovation. Implicated in the reversal of a trend toward greater tolerance of indiscriminacy, the advent of precision-guided munitions (PGMs) increasingly bears directly on perceptions of legitimacy in the conduct of war. In this context, unequal access to PGMs suggests unequal legitimate recourse to war measures, and this might well turn out to be the most important implication of the RMA to which we are witness.
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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 | 0.000 | 0.001 |
| 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 it