WORLD EXPERIENCE IN FORECASTING AND PLANNING SOCIO-ECONOMIC DEVELOPMENT IN THE PROCESS OF DEVELOPING A "WELFARE STATE"
Bibliographic record
Abstract
The article discusses the objective need to use the world experience of forecasting and planning in the process of developing a "welfare state" as an effective model for the modern development of a socially oriented market economy. The denial and lack of planning and forecasting of the economy on the scale of the country can lead to such negative consequences as uncertainty of the benchmarks of social and economic development of society for the long term and the development of chaos in the country; priorities of the decision short-term and current problems before strategic tasks on which the future development of society depends; preservation of playback modes; incomplete and inefficient use of resources; the emergence of crisis situations, etc. The practice of the leading countries of the world and the results they get prove that planning and forecasting are objectively necessary tools for the development of the modern market economy. The experience of many countries of the world testifies to the effectiveness of the use of these tools of state regulation of national socio-economic development. Features of forecasting and planning are considered in the representative countries of three existing systems of planning and regulation in the world: North American (USA and Canada); Asian (Japan and South Korea); European (France and Sweden). The forecasting and planning tools are based on the intersection balance model, which involves the inclusion of market impact (equilibrium prices) to determine the proportions of the plan and reflects the dynamics of production links (processes of public reproduction) of the national economy for several years. In the 21st century, strategic planning for the effective development of the state's economy is a prerequisite for sustainable economic growth and the formation of a national model of "welfare state" on this basis. Today, developed (post-industrial) countries use planning and forecasting, which have established themselves as an objective and natural tool for the modern market economy, where the role of the state is based on indicative planning, which ensures the achievement of sustainable economic growth to improve the well-being of the nation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".