Importance of the Information Environment Factor in Assessing a Country's Economic Security in the Digital Economy
Why this work is in the frame
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Bibliographic record
Abstract
The purpose of the article is to analyze the influence of the information environment factor on the assessment of a country's economic security in the digital economy.This work is devoted to the actual problem of managing a country's economic security.The methodology proposed in the paper for assessing the level of economic security is based on a comprehensive analysis and assessment of the main factors affecting economic security.In this context, proposals are developed for the use of digital methods for assessing the impact of various factors on a country's economic security, which will allow for obtaining various simulated data on an automated basis.Based on the data obtained, artificial intelligence develops solutions to improve the efficiency of economic security.The results of the study show that there is a strong correlation between the set of selected factors of economic security and the factor of the information environment.As a result, an increase in the influence of factors causes an increase in the level of security of the information environment, and a decrease in threats to the information environment of a country has a positive effect on its development.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it