Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Comparative case studies and analyses of the influence of domestic politics on countries' climate change policies and Kyoto ratification decisions. Climate change represents a “tragedy of the commons” on a global scale, requiring the cooperation of nations that do not necessarily put the Earth's well-being above their own national interests. And yet international efforts to address global warming have met with some success; the Kyoto Protocol, in which industrialized countries committed to reducing their collective emissions, took effect in 2005 (although without the participation of the United States). Reversing the lens used by previous scholarship on the topic, Global Commons, Domestic Decisions explains international action on climate change from the perspective of countries' domestic politics. In an effort to understand both what progress has been made and why it has been so limited, experts in comparative politics look at the experience of seven jurisdictions in deciding whether or not to ratify the Kyoto Protocol and to pursue national climate change mitigation policies. By analyzing the domestic politics and international positions of the United States, Australia, Russia, China, the European Union, Japan, and Canada, the authors demonstrate clearly that decisions about global policies are often made locally, in the context of electoral and political incentives, the normative commitments of policymakers, and domestic political institutions. Using a common analytical framework throughout, the book offers a unique comparison of the domestic political forces within each nation that affect climate change policy and provides insights into why some countries have been able to adopt innovative and aggressive positions on climate change both domestically and internationally.
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.
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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 it