The Formation of Legal Framework of Migration Policy in Russian Federation (1992-2010)
Bibliographic record
Abstract
The relevance of the issue under examination is conditioned by the significance and necessity of research on the process of formation of the migration policy legal framework in the state administration applied to the solution of arising problems in the field of political and legal regulation of migration processes. The article is aimed at the study of the regulatory framework formation of the state migration policy in the Russian Federation during the period of 1992 to 2010 years. The leading approach to the research on the given problem is institutional approach, which allows us to research the legal institution of migration processes – an important aspect of migration policy. The article sheds light on the migration policy development trends, shows the process of formation of new migration policy, gives the analysis of its regulatory framework and the influence of the country’s political situation on changes in legislative measures in the field of migration processes regulation, and suggests recommendations on their optimization. The materials, observations, and conclusions provided by this article contribute to the theory of political regulation of migration processes and can prove useful in adopting managerial decisions and holding organizational events for purposes of efficiency enhancement of migration processes regulation, as well as in developing curricula on politological specialties: “Political Region Studies”, “Political Management” and others, in delivering lectures on “Migration Policy” course.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".