Socio-Economic Determinants of Migration Processes and the Mechanism of Their Regulation
Bibliographic record
Abstract
The modern paradigm of socio-economic system development is determined by fluctuation changes and the transformation of integration in the migration processes regulation.In conditions of fluctuating transformations and social challenges, the analysis and migration processes regulation should be considered as a key issue of global social activity, and as the establishment of a strategic foundation for their development.The search for an effective analyzing method of the migration processes determinants and mechanisms for their regulation, which would combine global and regional mechanisms for regulating migration processes, is relevant.The aim of the study is to assess the socio-economic determinants of migration processes and to form a mechanism for their regulation.The object of research is the heterarchical structure of socio-economic relations that have developed in the process of regulating migration processes.The research is based on a systematic approach, which is used to define the determinants of migration processes in their relationship and interaction and to form a structure for regulating migration processes.An integrated methodological approach was used for assessment and verifying the influence of various indicators of possible impact on migration, i.e., for evaluation by a system of indicators, which provided a high level of validity.The bootstrap method was used to build a model of migration processes determinants.This method is a means of constructing an empirical distribution and definition of the main determinants of migration processes.The method of structuring is used in the formation of the model of the hierarchical structure of migration processes regulation.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".