Science and International Environmental Nonregimes: The Case of Arctic Haze
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
Abstract Dimitrov et al. argue that nonregimes are a worthy object of research attention that can contribute to international regime theory. Case studies, however, are still sparse. In this article, I examine Arctic haze, an issue area where a transnational environmental problem existed but no regime formed. Arctic haze was (re‐)discovered in 1971 but by 2000, the window of opportunity to form a regime had closed. What factors explain why an Arctic haze regime was not formed between 1971 and 2000? I claim science‐based factors play the dominant role. An analytical approach applicable to the science‐policy interface was employed. Using this approach, I conclude that the Arctic haze nonregime is best explained by the absence of scientifically documented and compelling transboundary consequences to ecosystems and humans. This is a product of the unique nature of the Arctic atmosphere.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.007 |
| 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