MétaCan
Menu
Back to cohort
Record W2280084954

Формирование культуры кибербезопасности в обществе актуальная задача современности

2011· article· ru· W2280084954 on OpenAlexaboutno aff
Sergey Grishin

Bibliographic record

VenueВестник Саратовского государственного социально-экономического университета · 2011
Typearticle
Languageru
FieldSocial Sciences
TopicSecurity, Politics, and Digital Transformation
Canadian institutionsnot available
Fundersnot available
KeywordsCyberspaceComputer securityCyber threatsIdentification (biology)State (computer science)National securityBusinessInformation securityInternet privacyPolitical scienceComputer scienceLawThe Internet
DOInot available

Abstract

fetched live from OpenAlex

The paper considers main features and methods of ensuring information security in Canada. In Canada protection of cyberspace is considered to be one of the greatest national assets and is manifested in protection of the Canadian cyber system from abuse and other destructive actions. The cyber security of Canada is based on the strategy for creating a more secure cyberspace for all Canadians and provides measures for detection, identification and protection from attacks by cybercriminals who leave no physical evidence of their illegal actions and conceal them through a complex network of infected computers. The author makes a conclusions that the Canadian experience in this area is very attractive, and that effective response to cyberthreats is only possible through implementation of cybersecurity strategy covering the full range of issues and coordination of efforts to prevent cyberthreats to citizens, business, society and state.

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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.679
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0040.005
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0020.004
Science and technology studies0.0050.006
Scholarly communication0.0020.007
Open science0.0060.001
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0200.019

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 head0.137
GPT teacher head0.315
Teacher spread0.177 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueВестник Саратовского государственного социально-экономического университетаSame topicSecurity, Politics, and Digital TransformationFrench-language works237,207