The Economics and Governance of Solar Geoengineering
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
Limited progress on reducing global greenhouse gas (GHG) emissions has sparked increasing interest in whether the global community should consider the use of solar geoengineering (SGE)—technologies designed to reflect sunlight away from Earth—as a short-term approach to reduce climate change damages. Through theory, surveys, simulations, and experiments, economists have studied the strategic implications of SGE, how these technologies interact with incentives to mitigate GHG emissions, and the challenges of governing them. This article provides a comprehensive review of the literature, starting with how SGE is incorporated into economic models. One issue is whether SGE will crowd out efforts to mitigate GHG or will enhance mitigation efforts. We identify conditions under which each of those results is likely. We review the economics of governing SGE, particularly the issue of a single actor unilaterally deploying SGE to manipulate global temperatures. Our review synthesizes the main findings from the literature with the goal of better informing global climate policies.
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 | 0.000 | 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 it