State Regulation of Strategic Economic Entities of Kazakhstan by Strategic Monitoring as Element of Anti-Crisis Management
Bibliographic record
Abstract
National economies uncontrollably involved in the process of global transformations touch a number of new problem issues. In the Republic of Kazakhstan at the contemporary stage of its development, some of the most urgent issues are related to functioning of strategic economic entities that enter the system providing the safety of state, economic sovereignty, and compliance with national economic interests. As a result of privatizing a number of strategic entities and inflow of foreign investments, the state, problems, perspectives, and tendencies of the functioning of key facilities of the economy require thorough research and scientific understanding. The article considers the issues on state regulation of strategic economic entities of Kazakhstan by strategic monitoring as an element of anti-crisis management. Therefore, it is proposed to use strategic anti-crisis monitoring as a stage and an individual process of the general anti-crisis management of strategic entities of economy. The author analyzed organizational and methodological approaches to strategic anti-crisis monitoring of strategic entities of economy, showed its difference from traditional types of monitoring, and proposed the scheme of strategic anti-crisis monitoring and a monitoring map that includes the aggregate of indicators according to the estimation of the impact of crisis phenomena on the development of strategic entities of economy.
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How this classification was reachedexpand
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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".