Bibliographic record
Abstract
The latest edition of this comprehensive and user-friendly textbook provides a single volume resource for all those studying Japan's international relations. It offers a clear and concise introduction to the most important aspects of Japan's role in the globalized economy of the twenty-first century. The book has been fully updated and revised to include comprehensive discussions of contemporary key issues for Japan’s IR, including: the rise of China; reaction to the global economic and financial crisis since 2008; Japan’s proactive role after 9/11 and the war on terror; responses to events on the Korean Peninsula; relations with the USA and the Obama administration; relations with Russia, Central Asia and the Middle East; changing responses to an expanding and deepening European Union. Extensively illustrated, the text includes statistics, maps, photographs, summaries and suggestions for further reading, making it essential reading for those studying Japanese politics and the international relations of the Asia Pacific. A note on the cover: The cover illustration entitled 'Double Standard' is a Japanese manga penned by satirical artist Ichihanahana in November 2010 regarding rising Japanese nationalism, Japan-China tensions over the disputed territory of the Senkaku islands and the US presence in Okinawa. This manga demonstrates many of the key themes in Japan’s ties with China and the US, but also a number of other central features of Japan’s international relations as explored throughout this text.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.025 | 0.009 |
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".