Osgoode welcomes Benoit Mayer, Assistant Professor, Faculty of Law, Chinese University of Hong Kong, as a Visiting Scholar from May 8 to June 8
Bibliographic record
Abstract
Benoit Mayer, assistant professor at the Faculty of Law of the Chinese University of Hong Kong, will be a visiting scholar at York University’s Osgoode Hall Law School from May 8 to June 8.\nMayer is also a research associate at McGill University’s Hans & Tamar Oppenheimer Chair in Public International Law, a senior research fellow at the Centre for International Sustainable Development Law (CISDL), an associate member at the National University of Singapore’s Asia-Pacific Centre for Environmental Law, and a research fellow at the Earth System Governance project. He is the managing editor of the Chinese Journal of International Law.\nMayer holds degrees from the University Paris 1 – Panthéon-Sorbonne, Sciences Po Lyon, McGill University, and the National University of Singapore. From 2015 to 2016, he was an associate professor at the University of Wuhan.\nHis publications include three books and more than 60 journal articles and book chapters on the international governance of climate change. His critical outlook on the concept of climate migration and his analysis of the interactions between climate change and general international law have had a growing influence in our understanding of responses to climate change.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.062 | 0.013 |
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".