DIPL 6031 International Environmental Policy
Bibliographic record
Abstract
This course will address the nature, content, and structure of international environmental law. The course will first familiarize students with international environmental problems and basic principles of international law and environmental regulation. The course will then take up various specific topics, such as global warming, stratospheric ozone depletion, trade and environment, and biodiversity and biosafety. Throughout, the course will apply interdisciplinary tools to help understand the international environmental regulatory system. The course will explore the roles of different actors in that system, as well as the difficulties of negotiating and implementing agreements that form the rules of the system. In terms of the learning goals and student outcomes the School’s Faculty have identified as key for students, students will: • increase their knowledge and understanding of o key concepts, models, theories, and debates in international relations o the institutional backdrop underpinning international politics, including international organizations and international law o the normative aspect of international relations as reflected in international law, including human rights o the prevailing global issues, such as international conflict, global health, and environmental challenges. • develop skills to o collect, sort, and evaluate information o analyze complex situations and synthesize information o integrate different fields of study in analysis of a complex world o communicate effectively in oral and written form. • develop a sense of global citizenship and to employ a global perspective to: o recognize and understand differences among a diversity of cultures and viewpoints o employ a global perspective and self-awareness regarding their own culture and responsibility as world citizens o demonstrate leadership qualities and other essential skills of diplomacy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.685 | 0.491 |
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".