Planning for Ensuring the Security of Sustainable Development of the Socio-Economic System in the Context of the Importance of the Knowledge Economy
Bibliographic record
Abstract
The main purpose of the study is to plan the process of ensuring the security of sustainable development of the socio-economic system.The research methodology involves the use of the IDEF0 modeling technique, which made it possible to achieve all the goals.As a result of the study, a model was formed that will allow planning a system for ensuring the security of sustainable development of the socio-economic system.The focus of the article falls on the problems of planning to ensure the security of socio-economic systems.The theoretical contribution of the results obtained is presented by mapping the process of applying a methodical approach to the selected issue.The practical significance of the article is characterized by modeling for a specific socio-economic system.The innovations of the results obtained are presented in the form of a contextual model.The study has limitations, despite the fact that the model we have developed includes more unified elements, the vector of the study is limited to a specific socio-economic system Lidl, therefore, in subsequent studies, it is planned to adapt this model to other socio-economic systems.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".