Leading the unwilling: Unilateral strategies to prevent arctic oil exploration
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
Arctic oil extraction is inconsistent with the 2 °C target. We study unilateral strategies by climate-concerned Arctic countries to deter extraction by others. Contradicting common theoretical assumptions about climate-change mitigation, our setting is one where countries may fundamentally disagree about whether mitigation by others is beneficial. This is because Arctic oil extraction requires specific R&D, hence entry by one country expands the extraction-technology market, decreasing costs for others. This means that, on the one hand, countries that extract Arctic oil gain if others do so as well. On the other hand, as countries may disagree about how harmful climate change is, they may disagree whether an equilibrium where all enter is better or worse than an equilibrium where all stay out. Less environmentally-concerned countries (preferring maximum entry) have a first-mover advantage but, because they rely on entry by others, entry in equilibrium is determined by the preferences of those who are moderately concerned about the environment. Furthermore, using a pooling strategy, an environmentally-concerned country can deter entry by credibly “pretending” to be environmentally adamant, and thus be expected to not follow. A rough calibration suggests a country like Norway, or prospects of a green future U.S. administration, could be pivotal in determining whether the Arctic will be explored.
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