The Economics of Human Rights: Canadian and U.S. Perspectives on Supply Chains, Sanctions, and Securing Reconciliation
Bibliographic record
Abstract
April 17-18, 2024 The conduct of business either protects human rights or enables their violation. Canada and the United States influence the enforcement and advancement of human rights through their approaches to regulating business activities. Both countries play a vital role in the international community on how human rights are protected through supply chains, the use of sanctions and reconciliation for past practices. The 48th Annual Canada-U.S. Law Institute Conference on April 18 and 19, 2024, will analyze these issues by bringing together government officials, distinguished academics, practitioners, and business leaders. Thursday, April 18 Attend in person or view this day via Livestream.Opening and Awards BanquetLocation: George C. Gund Hall, Case Western Reserve University School of Law11075 East Boulevard, Cleveland, Ohio, 44106 5:30 p.m. - Opening Reception and Dinner for all Conference Attendees – Law School Rotunda6:30 p.m. - Welcome and Introduction – Law School Rotunda6:45 p.m. - Presentation of the Henry T. King Award and Sidney J. Picker Award7 p.m. - Opening Address & Distinguished Lecture 8 p.m. - Adjourn Friday, April 19, 2024 Attend in person or view this day via Zoom registration.Location: Cleveland Botanical Garden (across the East Blvd. from Case Western Reserve University School of Law) 11030 East Boulevard, Cleveland, Ohio, 44106Panels (times to be announced) Panel 1: “Approaches to Advancing Human Rights” - This panel will address the legal conventions and international institutions focused on advancing and protecting human rights and how Canada and the United States are responding. Panel 2: “Protecting Human Rights through Economic Sanctions and Supply Chain Due Diligence” - This panel will review the current global economic sanctions environment as it relates to challenges arising in places such as Darfur (Sudan), Xinjiang (China), Democratic Republic of Congo, Myanmar, Iran and Russia, and the challenges faced by businesses seeking to comply within their global supply chains. Panel 3: “Indigenous Reconciliation and Development” - This panel will review how each county is addressing the rights of its Indigenous communities and providing reparations for past violations of human rights while advancing economic development. Panel 4: “Climate Change and Human Rights” - This panel will review how climate change is impacting human rights and how each country is preparing itself to address such issues as increased migration, maintaining agricultural and food resources, sustainability of fresh water resources, and global security.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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".