Bibliographic record
Abstract
The purpose of the article is to study the educational and educational environment in the modern world, which became the objects of globalization. This was facilitated by the development of multi-ethnic society, which leads to profound changes in the structure and content of all public institutions of all states that affect the issues of culture, philosophy, and education. It is interesting that in the second half of the XX century multiculturalism officially recognized Canada, USA, Australia, UK, Germany, France, Netherlands, Sweden, Finland and other countries. The United States, Canada, and Australia have common educational and training settings, especially in the concept of multicultural education. They combine the expectations of interethnic and intercultural dialogue. Modern higher educational institutions of the USA, Canada and Australia change strategies and programs to meet the needs of students from different ethnic and cultural groups carried out training of specialists who are able to respond effectively to the realities of a multicultural society. The crisis of multiculturalism in Europe was named a state in which the state and society are presented as disparate communities living side at the side, but those that do not cooperate, do not identify themselves as unified state. But despite the declarations of failure to try to create a multicultural society, leading European countries continue to support immigration. Today, the transformation of Ukraine into an open society is the democratization of society, the construction of a rule of law through the recognition of basic human rights and freedoms, and the expansion of opportunities for the development of the spiritual and material needs of the individual. These development trends are quite controversial in Ukraine, requiring a rethinking of the goals and results of education. If people do not know their history and are not responsible for this responsibility, anyone can take advantage of this weakness and to highlight historical facts in his own way, for their own interests, which often happens today.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.033 |
| Scholarly communication | 0.012 | 0.011 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".