Նոր միգրանտների սոցիալ-մշակութային կյանքը Սփյուռքում. հայաստանցի հարազատների դիտանկյունը
Bibliographic record
Abstract
According to the estimates of experts dealing with migration issues, the size of the negative balance of external migration from RA was around 1600–1700 thousand people in 1988–2019. A negative balance of border crossings was recorded also in 2020–2022: 6951 people. Most of these movements from the Republic of Armenia (RA) have been directed primarilly towards the Russian Federation, followed by European countries, the USA, Canada, CIS countries, etc. The purpose of the article is to discuss the social-cultural life of the new groups of migrants who emigrated from the RA from the point of view of relatives living in Armenia. This study is unique in terms of methodology because the object of re search is families in the RA, some of whose members emigrated and settled abroad after the 1990s, and the subject is the emigrant members. Research materials were collected using a combination of quantitative and qualitative survey methods. The quantitative research was conducted among 639 families in 20 urban and 37 rural settlements of all RA regions and Yerevan in 2021. Qualitative analysis was based on the results of in-depth interviews conducted (in 2023) with 30 households se lected from 639 households. Based on the results of our study, we can conclude that according to the family members living in the RA, it is essential for their relatives who have left for per manent residence to organize their active social-cultural life abroad, in which the ethnic network is of great importance. It not only becomes an important means of adaptation for new migrants but also becomes an important factor in the organi zation of their social-cultural life in the new environment. Contacts among the Armenians within a close social environment also contribute to the preservation of culture and the reproduction of customs.
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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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.020 | 0.006 |
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".