English Language in the Development of a Tolerant Person of the Student in a Multi-Ethnic Educational Environment of the University (For Example, Kazan Federal University)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Integration into the world community confronts the Russian education system purpose - education of the individual, having planetary thinking, able to see themselves not only as the representative of the native culture, living in a particular country, but also a citizen of the world, perceiving himself as the carrier and its foreign-language cultures. An important component of the socio-political development of multicultural education is the desire of both Russia and other countries integrate into the global European socio-cultural and educational space, while retaining their national identity. These processes contribute to the transformation of both Europe and Russia as a multilingual space where different languages have equal rights. There is an urgent social need for the organization of purposeful work on the formation of a tolerant person of the student, the system combines knowledge of different cultures, the desire and the willingness to intercultural Polylog. This era of social order urgently requires development of the younger generation of universal values, acculturation of other nations, which increases the motivation to learn foreign languages, associated with the desire to establish and develop contacts with foreign countries. It is English as a language of international communication acts as the major means to realize this idea in a multi-ethnic educational environment of the university. The article presents the results of a study conducted at the Kazan Federal University.
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.
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 | 0.001 | 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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it