Internationalization of Vocational Education in the Arctic Council Member-States’ Universities
Bibliographic record
Abstract
Nowadays, the potential for international cooperation in the Arctic is concentrated within the framework of such an influential international structure as the Arctic Council, where Russia is presiding over soon in 2021–2023. The article is devoted to international cooperation evaluation of 15 Arctic universities from 7 Arctic Council member-states with a student contingent of at least 3,600 people (2 in the USA, 1 in Iceland, 5 in Russia, 2 in Finland, 2 in Sweden, 2 in Norway, 1 in Canada). It seems possible to evaluate international cooperation potential between Arctic universities through the prism of 10 quantitative indicators, including the number of international students admitted to the university; number of courses taught in English; number of educational programs for international students; a number of foreign scientists invited to the university, etc. We can evaluate both academic mobility within the Arctic universities and vocational education internationalization due to accumulated statistical data.
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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 | 0.005 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".