Risking Security: Policies and Paradoxes of Cyberspace Security
Bibliographic record
Abstract
Conceptualizations of cyberspace security can be divided into two related dimensions, articulated as “risks”: risks to the physical realm of computer and communication technologies (risks to cyberspace); and risks that arise from cyberspace and are facilitated or generated by its technologies, but do not directly target the infrastructures per se (risks through cyberspace). There is robust international consensus, growing communities of practice, and an emerging normative regime around risks to cyberspace. This is less the case when it comes to risks through cyberspace. While states do collaborate around some policy areas, cooperation declines as the object of risk becomes politically contestable and where national interests vary widely. These include the nature of political opposition and the right to dissent or protest, minority rights and independence movements, religious belief, cultural values, or historical claims. The contrast between the domains has led to contradictory tendencies and paradoxical outcomes.
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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 | 0.013 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.044 |
| Scholarly communication | 0.014 | 0.027 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".