Modeling Management Decisions for Sustainable Regional Development: Public Relations Strategies and Security Considerations
Bibliographic record
Abstract
The main purpose of the article is to study the formation and implementation of management decisions on public relations (PR) strategies for ensuring sustainable development in the context of regional security.This study aims to will be to model the adoption of managerial decisions on PR strategies to ensure sustainable development for the security of a particular region.The object of the study is the system for ensuring the sustainable development of a particular region.As a result, we have obtained a model for making managerial decisions on PR strategies for ensuring sustainable development in the context of regional security.The novel contributions of this study include a direct technique for modeling managerial decisionmaking regarding PR strategies for sustainable development in the context of regional security, as well as a matrix for the step-by-step implementation of these processes and stages.The study is limited by taking into account regional specifics and the lack of modeling extension tools.Prospects for further research should be devoted to the concentration of sustainable development in the context of interregional security planning.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".