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Record W2341799682

State Use of Force in Cyberspace for Self-Defense: A New Challenge for a New Century

2005· article· en· W2341799682 on OpenAlexaff
Demetrius James Delibasis

Bibliographic record

VenueSSRN Electronic Journal · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicCybersecurity and Cyber Warfare Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsCyberspaceInformation warfareCyberwarfareAnalogyUse of forceComputer securityContext (archaeology)State (computer science)Political scienceInformation OperationsLaw and economicsLawInternational lawEngineeringThe InternetSociologyComputer scienceEpistemologyWorld Wide Web
DOInot available

Abstract

fetched live from OpenAlex

This essay is the closing chapter from the writer’s PhD thesis titled “The Right of States to Individual Self-Defense in Information Warfare Operations”. The Thesis focuses on the Cyberspace Warfare Section of Information Operations, its potential implications to modern international peace and security and its regulation. The main aim of the essay at hand is to outline the fact that Cyberspace Warfare has already evolved into a very potent as well as previously unheard off form of warfare and to show the subsequent need for the formulation of a regulatory framework specifically designed to regulate the use of force in Cyberspace.The essay begins with a short overview of the various aspects of Cyberspace Warfare in an attempt to make clear the potential threat this new form of war represents to international peace and security. It then moves on to examine Cyberspace Warfare within the context of currently existing international legal norms on the use of force and to determine if these norms can be applied to this new form of warfare and if so, to what extent. Finally, the essay attempts to make apparent a twofold fact: first, that current legal norms on the use of force can only be applied to Cyberspace by analogy and up to a certain point, hence there is a need to develop a regulatory framework specifically tailored for this purpose; second that the cause behind this need is the ‘special’ nature of Cyberspace warfare.

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.

How this classification was reachedexpand

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.524
Threshold uncertainty score0.813

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.022
GPT teacher head0.292
Teacher spread0.270 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2005
Admission routes1
Has abstractyes

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