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Record W3006025857 · doi:10.1007/978-3-030-29053-5_18

Norms of Responsible State Behaviour in Cyberspace

2020· book-chapter· en· W3006025857 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

Venue˜The œInternational library of ethics, law and technology · 2020
Typebook-chapter
Languageen
FieldSocial Sciences
TopicCybersecurity and Cyber Warfare Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsCyberspaceState (computer science)Political scienceVariety (cybernetics)Public relationsPrivate sectorLaw and economicsLawSociologyComputer scienceThe Internet

Abstract

fetched live from OpenAlex

Abstract Cyberspace has witnessed a ‘militarisation’ as a growing number of states engage in a variety of cyber operations directed against foreign entities. The rate of this militarisation has outstripped the diplomatic efforts undertaken to provide this unique environment with some ‘rules of the road’. The primary mechanism for discussing possible norms of responsible state behaviour has been a series of UN Groups of Governmental Experts, which have produced three consensus reports over the last decade. The 2015 report recommended a series of principles and confidence-building measures to prevent conf1lict, but prospects for its implementation have receded as differences amongst states persist over how security concepts should be applied to cyberspace. Renewed efforts to promote responsible state behaviour will require greater engagement on the part of the private sector and civil society, both of which have a huge stake in sustaining cyber peace.

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)0.000
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: Other · Consensus signal: none
Teacher disagreement score0.812
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.024
GPT teacher head0.279
Teacher spread0.255 · 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