Bibliographic record
Abstract
On November 16, 2023, the International Court of Justice voted 13 – 2 in favor of issuing a binding Order in the case of Canada and the Netherlands v. Syrian Arab Republic . The Order adopted two provisional measures, which require Syria to prevent acts of torture and other cruel punishment, ensure that its officials and organizations do not commit torture or other cruel punishments, and preserve any evidence related to the allegations of the case. A Request for the Indication of Provisional Measures seeking such an order had been entered on June 8, 2023, by Canada and the Netherlands, for which oral arguments were held on October 10, 2023. The Request came alongside Canada's and the Netherlands' Joint Application instituting proceedings against Syria for violations of the Convention against Torture and Other Cruel, Inhuman or Degrading Treatment or Punishment . The Request and Application were made pursuant to Articles 36 and 41 of the Statute of the Court, Article 30 of the Convention against Torture, and Articles 73, 74, and 75 of the Rules of the Court. Vice-President Gevorgian and Judge Xue voted against both provisional measures, with Vice-President Gevorgian appending a dissenting opinion and Judge Xue appending a declaration.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.016 | 0.002 |
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; both teacher heads agree on what is shown here.
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".