Strategic Guidelines for Planning the Sustainable Development of the Socio-Economic System by Ensuring Effective Personnel Management in the Economic Security
Bibliographic record
Abstract
The issue of determining the strategic guidelines for planning the sustainable development of the socio-economic system through increasing the efficiency of its personnel management remains relevant and new. That is why, from a variety of topics in the scientific and practical literature, our study is interesting and important. The main purpose of the article is to model the strategic guidelines for planning the sustainable development of a single socio-economic system through improving the efficiency of personnel management in the security system. The object of the study is the planning system for sustainable development of a single socioeconomic system. The research methodology was based on modern methods of econometric modeling aimed at determining the strategic guidelines for planning sustainable development for a particular socio-economic system. Based on the results of the study, the article presented a model of strategic guidelines for planning sustainable development for a particular socioeconomic system through increasing the efficiency of personnel management in the security system. Also, practical results are presented by analyzing the dynamics of the implementation of certain sustainable development planning targets. The study is limited by focusing only on a single socio-economic system. Further research will focus on the direct implementation of sustainable development measures.
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 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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".