Bibliographic record
Abstract
It is unlikely that George W. Bush feels constrained by international law when deciding whether to use military force abroad. Nevertheless, many of the United States' allies are reluctant to cooperate with and participate in military actions that cannot reasonably be justified under international law. And supportive allies, while perhaps not strictly necessary to the United States in its recent and foreseeable military campaigns, do make the military option easier to pursue. A war against Iraq would be difficult without access to bases and airspace in countries as diverse as Turkey, Saudi Arabia, Germany, and Canada. For this reason, at least, it would seem to be worth the president's while to adhere to international law where possible and, where this is not possible, to seek to change the rules. International lawyers in the Department of State, together with lawyers in other parts of the U.S. government, have excelled in shaping the law to accommodate the interests of the United States. One example, though by no means the only one, concerns the response to the September 11, 2001, terrorist attacks.
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 | 0.019 | 0.052 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.025 |
| Scholarly communication | 0.012 | 0.017 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.013 | 0.017 |
| 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".