Money as a “weapons system” and the entrepreneurial way of war
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
In US counterinsurgency doctrine, money has been characterized as "ammunition" and as a "weapons system". Money is being wielded to win over the "hearts and minds" of the population, and to protect the lives of the occupying forces. Soldiers are taking on greater responsibility for spending money on reconstruction and development projects on the battlefield. Billions of dollars have been spent by the military in Iraq and Afghanistan on a wide range of projects including building schools, developing infrastructure, and providing agricultural assistance as well as microfinance. But military doctrine now extends to helping implement free-market economies, supporting business creation, setting up banking facilities, and promoting entrepreneurialism. In fact, economic development has been recast as a constitutive form of combat, not simply as a supplement to conventional warfare, or as part of post-conflict reconstruction. The use of money as a "weapons system" speaks to both a different kind of military and a different kind of war. Fighting and violence have not been replaced or even displaced, but are joined with new strategies and tactics that sit uneasily side by side. As soldiers have been retooled to be economic decision-makers, we need to better understand how money and markets are increasingly both the weapon of military intervention and the anticipated outcome.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.004 |
| 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 | 0.004 |
| 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