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
A comparative examination of domestic climate politics that offers a theory for cross-national differences in domestic climate policymaking. Climate change threatens the planet, and yet policy responses have varied widely across nations. Some countries have undertaken ambitious programs to stave off climate disaster, others have done little, and still others have passed policies that were later rolled back. In this book, Matto Mildenberger opens the “black box” of domestic climate politics, examining policy making trajectories in several countries and offering a theoretical explanation for national differences in the climate policy process. Mildenberger introduces the concept of double representation—when carbon polluters enjoy political representation on both the left (through industrial unions fearful of job loss) and the right (through industrial business associations fighting policy costs)—and argues that different climate policy approaches can be explained by the interaction of climate policy preferences and domestic institutions. He illustrates his theory with detailed histories of climate politics in Norway, the United States, and Australia, along with briefer discussions of policies in in Germany, Japan, the United Kingdom, and Canada. He shows that Norway systematically shielded politically connected industrial polluters from costs beginning with its pioneering carbon tax; the United States, after the failure of carbon reduction legislation, finally acted on climate reform through a series of Obama administration executive actions; and Australia's Labor and Green parties enacted an emissions trading scheme, which was subsequently repealed by a conservative Liberal party government. Ultimately, Mildenberger argues for the importance of political considerations in understanding the climate policymaking process and discusses possible future policy directions.
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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 it