Modest and balanced: the US defense budget buildup during the first Trump administration, 2017–2020
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
Modesty and balance are not the first words that come to mind about President Donald Trump, but they do accurately describe the defense budget buildup that occurred during his first administration from 2017 to 2020. Measured against historical outcomes, the budget buildup facilitated modestly sized and institutionally balanced increases in readiness, force structure, and weapons system procurement. Contrary to contemporaneous claims, the budget buildup did not oversee a colossal rebuilding of the US military, did not disproportionally benefit readiness over other outputs, and did not ignore the Army in favor of the Air Force and Navy. These findings should ground expectations about what may occur in Trump’s second administration and remind scholars that the defense policy status quo is highly stable and resistant to change
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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