Socio-Cultural Researches of International Migration and Demography
Bibliographic record
Abstract
On October 2–6, 2019, Kyoto Sangyo University (Japan) hosted the 2nd World Congress “East-West: Intersection of Cultures”. The congress was attended by more than 200 scientists from 36 countries, including: Russia, Japan, USA, Canada, Georgia, Armenia, Belgium, Vietnam, Italy, Poland, Slovakia, Finland, China, Kazakhstan, Uzbekistan, Ukraine, South Korea. They discussed issues related to international migration and demography, education and cross-cultural communication and the problems of adaptation of migrants. The editors publish material on section “Socio-cultural studies of international migration and demography”, which discussed new trends and characteristics of demographic processes, including migration processes in countries around the world. Economic growth leads up to an increase in life expectancy, which is the reason for the demographic aging of the population of developed countries. Does this trend threaten further socio-economic development? Migration growth in developed countries aggravates the integration of new citizens, including cross-cultural interaction. What is the positive experience of these problems?
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".