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Risking Security: Policies and Paradoxes of Cyberspace Security

2010· article· en· W2003128541 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Political Sociology · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicCybersecurity and Cyber Warfare Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCyberspaceNormativeRealmOpposition (politics)DissentSociologyPoliticsNational Strategy to Secure CyberspaceLaw and economicsPublic relationsPolitical sciencePolitical economyLawThe InternetComputer science

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.151
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.014
GPT teacher head0.342
Teacher spread0.328 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it