Creating a secure cyberspace – Securitization in Internet governance discourses and dispositives in Germany and Russia
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
This article deals with the phenomenon of securitization in the emerging policy field of Internet governance. In essence, it presents a combination of theoretical reflections preparing the grounds for a comparative analysis of respective discourses and so-called dispositives as well as preliminary findings from such a comparative project. In the following sections we firstly present some theoretical reflections on the structural conditions of Internet regulation in general and the role and relevance of securitization in particular. Secondly, we shed light on how securitization is constructed and how it might affect the build-up process of instruments of Internet regulation. How does securitization happen, how does it work in different societies/states? Which discursive elements can be identified in elites’ discourses? And which politico-legal dispositives do emanate from discourse? In a third section we illustrate our reflections with some preliminary findings from a comparison of cybersecurity discourses and dispositives in Germany and Russia.
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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 | 0.002 |
| 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 | 0.001 |
| 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