INTERCULTURAL COMMUNICATION AND LANGUAGE POLICY IN MULTICULTURAL COUNTRIES
Bibliographic record
Abstract
The article examines the issues of language policy and their impact on shaping intercultural communication within multicultural societies.In today's globalized world, increasing migration flows, expanding international contacts, and intensified cultural interaction highlight the need for balanced language policies that can ensure the harmonious coexistence of diverse ethnic and linguistic groups.The paper examines both successful examples of language policy implementation (Canada, Finland, Switzerland) and problematic cases (France, Belgium, Ukraine), thus revealing the impact of languagerelated decisions on social integration, the preservation of cultural identity, and the democratic development of states.Particular attention is given to the Ukrainian context, where language policy has long been at the center of social and political debates, reflecting complex processes of nationbuilding and the search for equilibrium between promoting the state language and protecting minority language rights.The methodological framework combines analytical, comparative, and interdisciplinary approaches.The empirical basis includes international documents (the European Charter for Regional or Minority Languages, UNESCO and Council of Europe reports), national legislative acts (in particular, the Law of Ukraine "On Ensuring the Functioning of the Ukrainian Language as the State Language"), as well as academic works by leading scholars in the field.The analysis of practical case studies made it possible to identify key challenges, such as the risk of linguistic space fragmentation, the marginalization of minority languages, and the potential for social tension caused by excessive unification of linguistic practices.The findings emphasize that effective language policy should take into account both state interests and minority rights, ensuring equal access to education, information, and cultural life.Balanced strategies contribute to the preservation of cultural heritage, the establishment of open intercultural dialogue, and the strengthening of democratic foundations of civic coexistence.
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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 | 0.000 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".