Remote control? Chinese satellite infrastructure in and above the Arctic global commons
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 China is expanding its Arctic presence by developing infrastructure in the global commons that intersect with the region. Operations in outer space, the deep sea and cyberspace minimise the need for terrestrial footholds and generate data, a virtual resource. To analyse the epistemic and geopolitical consequences of developing the Arctic global commons as a vertically and digitally integrated volume, we examine a critical form of Chinese ‘remote infrastructure’: optical, synthetic aperture radar, and navigation satellites. We argue that first, by generating data about the Arctic, these instruments turn China into a regional knowledge producer. Second, as remote observations outnumber field observations, Chinese polar science may shift the regional balance of knowledge towards spaceborne and marine observations. Third, China's emergence as an Arctic knowledge producer may motivate the state to contribute to regional governance as remote sensing and large‐scale, computationally intensive techniques become privileged decision‐making tools. To transcend the terrestrial and maritime fixes that predominate research on China and the Arctic, we call for greater attention to the influence of epistemic capacities on geopolitics.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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