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Record W3114869206 · doi:10.26565/2075-1834-2020-30-13

EXPERIENCE OF GOVERNMENT CONTROL OF PROVIDING OF INFORMATIVE SAFETY OF THE FOREIGN STATES (ON EXAMPLE OF THE UNITED STATES OF AMERICA, CANADA, GERMANY, FRANCE)

2020· article· en· W3114869206 on OpenAlexaboutno aff
Павло Олександрович Яковлєв

Bibliographic record

VenueThe Journal of V N Karazin Kharkiv National University Series Law · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicWar, Law, and Justice
Canadian institutionsnot available
Fundersnot available
KeywordsDignityLegislatureGovernment (linguistics)Administration (probate law)European unionPolitical scienceGeneral partnershipPublic administrationState (computer science)Fundamental rightsHuman rightsValue (mathematics)LegislationLawBusinessInternational trade

Abstract

fetched live from OpenAlex

Introduction. The Article is sanctified to illumination of experience of government control of providing of informative safety in the developed foreign states. On the example of the United States of America, Canada, Germany, France the aspects of reformation of legislative soil of providing of informative safety are analysed in a modern period, the competense of basic subjects of state administration, that provide informative safety, is certain, attention is accented on the observance of informative rights for citizens in the process of administration of processes of providing of informative safety. Summary of the main research results. It is distinguished, that experience of government control in the field of providing of informative safety of Germany and France is model at the aspects of expediency of implementing provision of Agreement about an association between Ukraine and European Union in 2014 So, by a document certainly, that the mode of partnership of Ukraine and European Union envisages development and transformation of the national legal system in ambitious and innovative method on the basis of principles of supremacy of right, kind goverment, to undiscrimination of persons that belongs to minority, respect human rights and fundamental freedom, right for a national minority, variety, value human dignity, devotion principle free market economy and others like that. Accordingly, the valuable observance of the marked principles envisages realization of sound work in relation to adaptation of the national system of administration of providing of informative safety of Ukraine in accordance with the best practices of the USA and states of European Union. Conclusions. It is marked that a selection and description of major aspects of adjusting of providing of informative safety in the foreign states allow to decide some important tasks of research and practice character. In particular, before home specialists possibility of creation and expansion of practical possibilities of decision of tasks home specialists is opened in relation to the rich in content filling of position papers on questions informative safety, accumulation of empiric base, that can be used in the process of development and acceptance of new normative acts in the field of providing of informative safety, input of new for the legal system of Ukraine institutes of providing of informative safety; improvement of existent legislative base for functioning of elements to the sector of safety and defensive in the field of providing of informative safety. Success of realization of the marked reference-points largely depends on the level of qualification of the Ukrainian specialists, and also from technical, organizational, administrative providing of activity of subjects, what authorized agents to provide informative safety of Ukraine.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.284
Threshold uncertainty score0.572

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.006
Scholarly communication0.0050.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.012
GPT teacher head0.211
Teacher spread0.199 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2020
Admission routes1
Has abstractyes

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