Науковий дискурс про транснаціональну вищу освіту як соціально-педагогічне явище
Bibliographic record
Abstract
У статті здійснено семантичний аналіз термінів, що позначають явище “транснаціональна вища освіта” з огляду на особливості їхнього використання у наукових працях дослідників у галузі соціальних наук, документах міжнародних організацій, урядових і неурядових освітніх структур країн, залучених до процесів міжнародної інтеграції у сфері освіти, з метою виявлення сутності досліджуваного феномена. З’ясовано, що термін “транснаціональна вища освіта”, як правило, вживається для означення реального або віртуального пересування студентів, педагогів, академічних програм та знаннєвих потоків з однієї країни в іншу. The article devotes to semantic analysis of terms for "transnational higher education" determining due to the peculiarities of their usage in scientific research works in the social fields (sociology, philosophy, political science, economics, cultural studies), documents of international organizations, governmental and non-governmental educational institutions of different countries involved in the process of international integration in education, in order to identify the nature of the phenomenon under investigation. Usually the term "transnational" is used in research on higher education to emphasize the importance of "between" or "on" territorial boundaries, so the emphasis is on what is happening in the "transnational space" rather than at the level of formal cooperation between nations. It is founded that the term "transnational higher education" is usually used to refer to real or virtual movement of students, faculty, and academic programs from one country to another. The study of semantic meaning of key term “transnational higher education” shows that it is often used with respect to educational and scientific initiatives and partnerships at the institutional level, rather than at the level of individual mobility of teachers and students. Development of transnational higher education as an active and effective international cooperation for the purpose of cross-fertilization and exchange of experience in education becomes an important part of education policy in developed countries, including Great Britain, Australia, Canada and USA. After all its indisputable advantages include increased availability of higher education universalization of knowledge, the development of international standards for quality and innovation, increase higher education participation by students and teachers in the international exchange of knowledge, expansion and strengthening of international cooperation in education and research sector, diversification and growth of financial flows by attracting foreign students to pay learning, expanding international network of higher education institutions for the effective use of their resources.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.044 | 0.013 |
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".