A diaszpórában élő magyar családok jellegzetességei = Hungarian Families in the Diaspora
Bibliographic record
Abstract
The present study reports the findings of an online survey conducted as part of a joint research project carried out in 2023–2024 by the Research Institute for Hungarian Communities Abroad, the Youth Research Institute, and the Maria Kopp Institute for Demography and Families. This project constituted a continuation of a survey implemented in 2018, which focused primarily on partner choice patterns as well as attitudes toward childbearing and family formation among members of autochthonous Hungarian minority communities living in Romania, Slovakia, Serbia, and Ukraine. In 2024, the scope of the research was extended to include the Hungarian diaspora living outside the Carpathian Basin. In total, 1,152 respondents from various parts of the world completed the questionnaire, of whom 1,060 provided valid responses suitable for analysis. More than 87% of respondents were born outside the country in which they currently reside and can therefore be classified as first-generation immigrants. The majority of them migrated abroad in the hope of achieving a higher standard of living, better conditions, and more favorable employment opportunities. However, political circumstances as well as personal, family-related, and partnership-related reasons also emerged as significant motivating factors. While most respondents visit Hungary on a regular basis, they do not plan to return permanently in the near future. With regard to marital status, more than two-thirds of respondents are married. However, fewer than 58% of respondents communicate in Hungarian with their spouse or partner, whereas nearly four-fifths of respondents who have children use Hungarian when communicating with them. Only a small proportion of respondents plan to have children within the next five years. Most respondents consider the country in which they currently live—rather than Hungary—to be the ideal place for family formation and child-rearing.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.006 |
| Science and technology studies | 0.004 | 0.009 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.014 | 0.006 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".