Cold, dark, and dangerous: international cooperation in the arctic and space
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 This article compares Russian–Western cooperation in the Arctic and Space, with a focus on why cooperation continued after the 2014 annexation of Crimea. On the basis of this comparative approach, continued cooperation is linked to the following factors: (1) the Arctic and Space are remote and extreme environments; (2) they are militarised but not substantially weaponised; (3) they both suffer from ‘tragedies of the commons’; (4) Arctic and Space-faring states engage in risk management through international law-making; (5) Arctic and Space relations rely on consensus decision-making; (6) Arctic and Space relations rely on soft law; (7) Arctic states and Space-faring states interact within a situation of ‘complex interdependence’; (8) Russia and the United States are resisting greater Chinese involvement in these regions. The article concludes with the following contribution to international relations theory: The more that states need to cooperate in a particular region or issue-area, and the more they become accustomed to doing so, the more resilient that cooperation will become to tensions and breakdowns in other regions and issue-areas. This phenomenon can be termed ‘complex and resilient interdependence’, to signify that complex independence is more than a description. It can, sometimes, affect the course of state-to-state relations.
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