A Legal Mirage: State Responsibility for Non-State Actor Interference with Space Systems
Bibliographic record
Abstract
Abstract Outer space is becoming a more accessible and less expensive domain in which to operate. Consequently, growing numbers of state and non-state actors (NSAs) are operating in, to, and through space. At the same time, instances of space-based and ground-based interference with space systems are also increasing, disrupting crucial space-supported services and applications relied on by millions, with great financial and operational costs. The increased participation of NSAs in space activities raises particular concerns, especially the threat of intentional interference with space systems by nefarious actors like terrorist organizations. It also requires consideration of whether states bear responsibility and/or liability for the acts of NSAs with a nexus to those states. At first glance, it is tempting to conclude that one or more normative legal regimes would apply. The potential regimes include international space law, international telecommunications law, and the law of state responsibility. On further examination, however, when it comes to interference, there appears to be no effective legal mechanism to hold states accountable for NSA interference with space systems, which can be exploited by NSAs and challenge efforts by states to enforce “good” behaviour.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.022 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.032 |
| Scholarly communication | 0.013 | 0.008 |
| Open science | 0.003 | 0.006 |
| Research integrity | 0.016 | 0.017 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".