Transformation of Threats to Demographic Security and Sustainable Development of the Region Due to Increased Military Actions
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The main purpose of the article is to identify the main threats to demographic security and sustainable development of the region in the context of military actions. The methodology implies modern methods of hierarchical analysis and analysis methods. The reason for choosing this topic is accompanied by the fact that, because demographic factors significantly affect the stability and security of the development of the region, the problem of ensuring demographic security, in particular in terms of identifying and tracking changes in key threats, is relevant and important for the further restoration of human resources. According to the results of the study, the features of the transformation of the main threats to demographic security and sustainable development of a particular region were determined. A response level matrix was proposed for each of the identified threats in order to counteract the most impact and further reduce the pace of implementation of activities. Research has limitations. The fact that as a result of hostilities, a small number of regions can be the object of research. In the future, we should consider the demographic security and sustainable development of regions that do not have the influence of military actions and compare them with our research results.
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.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 it