Environmental Change and Foreign Policy
Bibliographic record
Abstract
1. Introduction: Environmental Foreign Policy in Theory and Practice Paul G. Harris Part 1: Theory 2. Theories of Environmental Foreign Policy: Power, Interests, and Ideas John Barkdull and Paul G. Harris 3. The Symbolism of Environmental Policy: Foreign Policy Commitments as Signaling Tools Loren R. Cass 4. Pluralistic Politics and Public Choice: Theories of Business and Government Responses to Climate Change Thomas L. Brewer 5. The Politics of Socionatures: Images of Environmental Foreign Policy Maximilian Mayer and Friedrich J. Arndt Part 2: Practice 6. The Domestication of International Environmental Conventions: Biodiversity in Ugandan Foreign Policy David R. Mutekanga 7. From Local Protest to the International Court of Justice: Forging Environmental Foreign Policy in Argentina Isabella Alcaniz and Ricardo Gutierrez 8. Finnish Environment and Foreign Policy: Supranationalism, Pragmatism, and Consensus Building Mika Mervio 9. Canada's Foreign Policy on Persistent Organic Pollutants: The Making of an Environmental Leader Ken Wilkening and Charles Thrift 10. Greening the Streams: Water in EU and US Foreign Policy Sara Hughes and Lena Partzsch 11. Trade and the Environment: Foreign Policies of Developing Countries in Asia Yohei Harashima 12. Financing for the Environment: Explaining Unequal Burden Sharing Aike Muller 13. Conclusion: Environmental Foreign Policy: Towards a Conceptual Framework Mihaela Papa
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.044 | 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".