Case Global: A Winning Tradition
Bibliographic record
Abstract
Volume 17, No. 1 (2025) CWRU once again ranked among the best in 2025 PreLaw magazine and US News & World Report rankings of International Law Program... Case Western Journal of International Law Tackles the Need to Update the Geneva Conventions Building on a Winning Tradition CWRU Launches New International Development Law Lab CWRU Establishes Spring Break in the Hague Program Professor Michael Scharf leads Team to Prepare Ukrainian Judges and Prosecutors to Try Environmental War Crimes Professor Rapp teaches Comparative Law to Saudi Administrative Judges in Riyadh Yemen Accountability Project publishes two new White Papers Immigration Clinic Builds Momentum CWRU Expands its Concurrent Degree Program to Two Additional Foreign Schools CWRU’s Kaitlyn Booher Elected Leader of Foreign Graduate Students in Spain CWRU Human Trafficking Clinic Director Honored for Her Work International internships An Interview with 3L Sophia Fisher, who interned at Navy JAG in Honolulu International Externship Spotlight: Jonathan Kronert International Law Conferences, Experts Meetings, and Distinguished Lectures From CWRU to Security Council, George Kamanda (LAW ‘22) discusses his exciting international career Su He (LAW ‘13) Selected for Prestigious Leadership Award Alumnus elected to African Court of Human Rights A Legacy of Leadership: Steven Petras (LAW ‘79) Establishes First Endowment for the Canada-United States Law Institute at Case Western Reserve University School of Law International Law Alumni A Community of Experts: Our International Law Faculty Student Leaders Honored
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 teacher head, 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".