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Record W2013779715 · doi:10.1177/0894439310392197

Cyber-Security and Risk Management in an Interoperable World

2011· article· en· W2013779715 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

VenueSocial Science Computer Review · 2011
Typearticle
Languageen
FieldComputer Science
TopicInformation and Cyber Security
Canadian institutionsDalhousie University
Fundersnot available
KeywordsInteroperabilityCyberspaceResilience (materials science)The InternetInterdependenceGovernment (linguistics)Public relationsPrivate sectorBusinessOrder (exchange)PoliticsCollective actionKnowledge managementComputer securitySociologyPolitical scienceEconomicsComputer scienceEconomic growthSocial scienceLaw

Abstract

fetched live from OpenAlex

The Internet facilitates a level of interoperability that generates considerable innovation and opportunity. Yet threats to governments, businesses, and individuals who use the Internet are increasing exponentially. This article deploys an anthropological understanding of risk in order to examine public sector action and capacity with respect to the multidimensional challenge of cyber-security. Our objectives are threefold: to gain a fuller appreciation of the interplay of political, technological, organizational, and social dimensions of cyber-security; to understand how this interplay is further shaped by clashing values and perceptions of risk; and to offer some prescriptive insight into the sorts of roles for government most likely to maximize systemic resilience and learning in an increasingly interdependent and virtual environment. Governments, the private sector, and civil society must engage in more shared responsibilities and collective learning in what is a highly fragile and dynamic cyberspace.

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)0.002
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.754
Threshold uncertainty score0.447

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.001
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 head0.031
GPT teacher head0.286
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