Bibliographic record
Abstract
After WWII, countries of Central and Eastern Europe (CEE) actively backed the establishment of the military tribunals in Nuremberg and Tokyo. In the early 1990s, when the International Criminal Tribunals for the Former Yugoslavia (ICTY) and for Rwanda (ICTR) were created by the UN Security Council, the CEE countries again lent uniform, albeit largely rhetorical support to these institutions. A quarter of a century later, this uniformity seems to be gone. While the CEE countries continue to express belief in international criminal justice, they no longer agree with each other on whether this justice has actually been served by the ad hoctribunals. The diverging views on the achievements of the ICTY and ICTR might also partly account for the differences in the approach to the permanent International Criminal Court (ICC), though the grounds for these differences are more complex.
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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.039 |
| Scholarly communication | 0.016 | 0.010 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".