Interview with Philippe Kirsch, President of the International Criminal Court
Bibliographic record
Abstract
Judge Philippe Kirsch (Canada) is president of the International Criminal Court in The Hague and is assigned to its Appeals Division. He is a member of the bar of the province of Quebec and was appointed Queen's Counsel in 1988. In 1998, Judge Kirsch served as chairman of the Committee of the Whole of the United Nations Diplomatic Conference of Plenipotentiaries on the Establishment of an International Criminal Court (the Rome Conference). He was also chairman of the Preparatory Commission for the International Criminal Court (1999–2002). Judge Kirsch has extensive experience in the development of international criminal law, with particular regard to issues related to terrorism. His experience in international humanitarian law includes serving as chairman of the Drafting Committee of the International Conference on the Protection of War Victims (1993), the Drafting Committee at the 26th and 27th International Conferences of the Red Cross and Red Crescent (1995, 1999) and related meetings. He also chaired the Canadian National Committee on Humanitarian Law (1998–9) and was a member of the Group of International Advisers to the International Committee of the Red Cross (2000–3).
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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 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.002 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.012 | 0.015 |
| Insufficient payload (model declined to judge) | 0.015 | 0.004 |
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".