Japan’s Revolutionary Military Change: Explaining Why It Happened Under Kishida
Bibliographic record
Abstract
Japan's security policy is changing rapidly, with drastic increases to its defense budget and the acquisition of counterstrike capabilities. While the deteriorating security environment undeniably motivates Japan's defense posture, the speed and extent of these recent changes still present a puzzle. Why was it under Kishida Fumio—a former leader of Kōchikai, the liberal and oft-considered pacifist faction within the Liberal Democratic Party (LDP)—that Japan achieved its watershed moment on defense? This article explains this change through the exigencies of Kishida's domestic political survival. It was through his leadership of a minority faction within the LDP, his image as a dove, and support for fiscal discipline, that Kishida managed to find the largest common denominator among competing domestic political forces. Had it not been for Kishida, the speed and degree of Japan's recent transformation in security policies would have been unlikely. In light of these findings, we conclude by considering the policy implications for understanding Japan's security posture.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".