Stewardship versus Sovereignty? International Law and the Apportionment of Cyberspace
Bibliographic record
Abstract
The 2012 Cyberdialogue Conference, hosted by the University of Toronto, asked the question 'What is Stewardship in Cyberspace'? This essay pursues that stewardship inquiry through the lens of international law. Existing debates on the nature of cyberspace have emphasized its suitability for governance by social norms, domestic law, or some combination of the two. Questions of international law — to the extent they are raised at all — have been limited to asking how (and how well) existing rules analogize to cyberspace. But international law also clearly has something to say about defining what kind of resource cyberspace is (or might become). International law has long divvied up the world’s resources into categories, with different forms of governance for different types of resources. These categories suggest that a stewardship approach to regulating cyberspace could work. But doing so requires a critical assumption: that cyberspace is a shared resource (or one where individual interests are so comingled as to defy separation). That vision of cyberspace is not, however, universally held. Some deny that cyberspace is “space” at all, or insist that its resources can be (and are better off) apportioned to individual States. In particular, any use of the “stewardship” label for cyberspace governance will generate opposition from those who prefer to label cyberspace as subject to governance based on sovereignty. A contest pitting stewardship against sovereignty is likely to forestall, if not derail, agreement on any particular governance structure for cyberspace. Such a fight is not, however, inevitable. International law does not limit governing frameworks to those accompanying stewardship or sovereignty, but offers a spectrum of ways to regulate resources. This paper undertakes a brief survey of these hybrid approaches and suggests that — instead of fighting over what we should call cyberspace — a discussion of what behaviour we want to encourage (or prohibit) is a more appropriate starting point for future conversations about cyberspace governance.
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How this classification was reachedexpand
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 | 0.004 | 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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".