State management of import dependency and state’s economic security ensuring: New analysis to evaluating and strategizing
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.
Bibliographic record
Abstract
The need to improve public administration of import dependency was characterized (in the example of Ukraine) and the signs of its influence and interconnection with ensuring the state’s economic security are characterized. The methodological sequence of import dependency evaluation is substantiated. Using Hotelling’s method of transformation (the method of principal components), the multiplicative form is presented and the integral index of import dependency of the country’s economy is calculated. Harrington’s interval scale is used to summarize the results of the integral evaluation of import dependency. The results of the evaluation have confirmed the high level of import dependency of the Ukrainian economy and clear tendencies for its strengthening, which is critically threatening to the country’s economic security. Using the tool of multivariate dynamic regression modeling, a statistically significant correlation between the level of import dependency and the country’s economic security is established. The economic and mathematical descriptive model of state management of the state’s economic security is formed, which is embedded in a methodical approach to strategizing the state policy of import substitution. The purpose of the state management of import substitution, the parameters of ensuring the country’s economic security agreed with it, the strategic priorities of the state policy of import substitution and the indicators of their implementation are determined.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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