Bibliographic record
Abstract
Is Japan re-emerging as a normal, or even a great, military power in regional and global security affairs? This Adelphi Paper assesses the overall trajectory of Japan’s security policy over the last decade, and the impact of a changing Japanese military posture on the stability of East Asia. The paper examines Japan’s evolving security debate, set against the background of a shifting international environment and domestic policymaking system; the status of Japan’s national military capabilities and constitutional prohibitions; post-Cold War developments in the US Japan alliance; and Japan’s role in multilateral regional security dialogue, UN PKO, and US-led coalitions of the willing. It concludes that Japan is undoubtedly moving along the trajectory of becoming a more assertive military power, and that this trend has been accelerated post-9/11. Japan is unlikely, though, to channel its military power through greatly different frameworks than at present. Japan will opt for the enhanced, and probably inextricable, integration of its military capabilities into the US Japan alliance, rather than pursuing options for greater autonomy or multilateralism. Japan’s strengthened role as the defensive shield for the offensive sword of US power projection will only serve to bolster US military hegemony in East Asia and globally.
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.
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 | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".