Bibliographic record
Abstract
The past few weeks have been marked by the rapid deterioration of relations between China and South Korea on the one hand, and Japan on the other hand.The outward symptoms of the crisis have been daily anti-Japanese demonstrations in the largest cities of China and South Korea.They have also included rude lecturing aimed at Japanese Prime Minister Junichiro Koizumi, by Korean President Roh Moo-hyun and Chinese Prime Minister Wen Jia-bao that Japan remember and "sincerely" repent for its aggressive policies on the Asian continent sixty years ago.History and history textbooks, territorial disputes and Japan's quest to become a permanent member of the Security Council of the United Nations are said to be the core of the crisis.A closer look, however, suggests that Beijing and Seoul are using history and territorial disputes to thwart Tokyo's drive for the UN position.Moreover, South Korea's leftist ultranationalist President Roh Moo-hyun, with China's support, is using the crisis to concoct a scheme that would drastically rearrange the security structure in northeast Asia.Roh seems to be aiming for an axis of sorts between the Republic of Korea and the People's Republic of China with the possible de-facto affiliation of North Korea.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.019 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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".