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Record W4320503849 · doi:10.57125/fel.2022.12.25.08

Some aspects of the state information policy of the modern state: definitions of the future

2022· article· en· W4320503849 on OpenAlexaboutno aff
Olha Prokopenko

Bibliographic record

VenueFuturity Economics&Law · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Issues in Ukraine
Canadian institutionsnot available
Fundersnot available
KeywordsState (computer science)Information policyPoliticsContext (archaeology)Information systemPolitical sciencePublic administrationComputer scienceRegional sciencePublic relationsSociologyLawGeography

Abstract

fetched live from OpenAlex

It is necessary to underline that all civilized states link their future with the formation of a single information space. The group of the most informationally developed countries - the USA, Canada, Japan, Germany, France, England, Italy, Poland considering the creation of a single information space one of the priority tasks of the 21st century, agreed to cooperate in creating a global information infrastructure based on seven fundamental principles. Information policy is the use of information as a means to achieve political and other goals, the information impact of political actors on each other. It should be noted that information is currently one of the most important resources in the public administration system. The purpose of the research is to analyze the specific features of the formation and the development of the state information policy. Searching identified 65 articles from 2015 to 2021. In the context of the state information policy of the modern state 13 were selected for review. The main methods used in the work were: comparative, method of abstraction, deductive method, concretization. The study described in this paper provides a systematic review of the literature on the formation of the informative policy and the specific features of the policy of different countries of the world over the past decade. Based on a full-text analysis of 13 articles published in renowned databases and peer-reviewed journals, the study reveals the necessity to analyze the importance of the state information policy in the modern society. The results state that is impossible to overestimate the importance of information in business as far as it creates fortunes for its owners, and the lack of information or its misinterpretation destroys large financial corporations. The conclusion is oriented on the facts that the information forms a system of alliances and blocs of states, contributes to the overthrow of governments, affects the political life of billions of people around the world.

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)0.010
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0120.015
Science and technology studies0.0030.020
Scholarly communication0.0100.023
Open science0.0010.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0040.000

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 head0.017
GPT teacher head0.194
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; 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 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

Citations5
Published2022
Admission routes1
Has abstractyes

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