Modeling the Planning of the Potential for Sustainable Development of the Region in the System of Public Administration of Social Security
Bibliographic record
Abstract
The problems of sustainable development of the region in the system of public administration of social security have become especially relevant in a difficult and unstable period of transformation of social, political and moral-spiritual relations, determining the need to study the nature of the social structure of planning regional economic systems.The main purpose of the article is to develop conceptual approaches to form sustainable development of the region in the public administration system.In accordance with the goal, it is necessary to solve the following tasks: to determine the properties of the functioning of regional socio-economic systems as objects of modeling, to develop a diagram for constructing a model for planning the potential for sustainable development of the region, to calculate a two-level matrix for planning the potential for sustainable development of the region.The research methodology includes a number of economic and mathematical modeling methods and matrix methods for achieving goals.According to the results of the research conducted in the article, two levels of the matrix of sustainable development of the selected regions were presented.The level of potential for the growth of key indicators for planning the sustainable development of the region in the system of public social security administration is calculated.
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 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 | 0.002 | 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 | 0.001 | 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".