An examination of the relationship between cultural distance and acculturation preferences in six post‐Soviet societies
Bibliographic record
Abstract
Abstract This study examines the relationship between perceived cultural distance and acculturation preferences of ethnic majority groups and a minority group in six post‐Soviet societies: Armenia, Estonia, Georgia, Kazakhstan, Kyrgyzstan and Tajikistan. We surveyed ethnic Russians (the ethnic minority) and members of the majority groups in each society. The total number of respondents was 3271 people. After the collapse of the Soviet Union, the status of the Russian population in these republics changed from being the dominant group in the Soviet Union to an ethnic minority group in the newly independent countries. To take into account contextual features, we evaluated the permeability of ethnic boundaries for ethnic Russians, which vary across different post‐Soviet republics. We found that in the samples of the national population and one ethnic minority (Russians), the closer the cultural distance, the higher the perceived permeability of boundaries. However, among the national population, a closer cultural distance to Russians is positively associated with the desire to segregate them, while among Russians, a closer cultural distance to the national population is associated with a desire to integrate.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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 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".