"International Law and Global Governance in a Turbulent World" to be explored at Georgia Law-Leuven Centre conference in Belgium
Bibliographic record
Abstract
"International Law and Global Governance in a Turbulent World" to be explored at Georgia Law-Leuven Centre conference in Belgium Thursday, June 15, 2017 The University of Georgia School of Law’s Dean Rusk International Law Center and the University of Leuven Centre for Global Governance Studies will host "International Law and Global Governance in a Turbulent World," a daylong conference, in Belgium on June 29. The event will explore some of the main challenges faced by contemporary international law and global governance in a time of crisis through three panel discussions. The panel titles are: · Global Governance of Human Rights. How to enforce universal values in contested world? · Global Governance of Democracy and Rule of Law in international perspective. · Global Economic and Trade Governance in Protectionist Times. Will we see the emergence of trade wars in the coming years? The program will start with an exploration of the main challenges inherent to the enforcement of universal values such as human rights. The conference will then focus on the difficulties to come up with a consensus on the rule of law at the global level. Starting from an analysis of the diversity in the ways the rule of law has been understood across time and geography, the conference will address some of the main challenges to the rule of law within the European Union and at the United Nations level. Before concluding, discussions will explore the risks for the emergence of trade wars in a context of rising protectionism. Questions such as the future of multilateral and bilateral trade agreements will be discussed in light of the changes in the U.S. foreign trade policy and the rising skepticism of citizens vis-à-vis further liberalization of international trade. The transatlantic array of speakers will include: Tom Pegram from the University College London, England; Katrien Meuwissen from the European Association of National Human Rights Institutions; Daniela Piana from the University of Bologna, Italy; Petra Bard from the Central European University, Budapest, Hungary; Laurent Pech from the Middlesex University, London, England; Miles Kahler from the American University School of International Service, Washington, D.C.; John Kirton from the University of Toronto Munk School of Global Affairs, Canada; and Tomas Baert from the European Commission Trade Strategy Unit, Brussels, Belgium; in addition to UGA law professors Amann and Harlan G. Cohen and Leuven professors Anna-Luise Chané and Matthieu Burnay. The conference is a component of the Global Governance Summer School, which is co-presented by the Dean Rusk International Law Center and the Leuven Centre for Global Governance Studies. Applications for the summer school are still being accepted. For more information, please visit https://ghum.kuleuven.be/ggs/projects/global-governance-summer-school/registration . For more information on the conference, please visit: http://ghum.kuleuven.be/ggs/projects/global-governance-summer-school/29-06-2017 .
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.051 | 0.008 |
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".