Bibliographic record
Abstract
The Effect of the Russia-Ukraine Conflict on International Mobility and Internationalization in Post-Soviet Eurasia and Beyond.As JCIHE continues to broaden our inclusion of articles from throughout the world, an emphasis on Post-Soviet Eurasia covers many different contexts of importance for mobility, internationalization, and partnerships.Issue 16(3) 2024 also includes five Independent Submissions on innovative topics that deepen the understanding of international and comparative higher education in countries around the world.The Summer Special Issue The Effect of the Russia-Ukraine Conflict on International Mobility and Internationalization in Post-Soviet Eurasia and Beyond has as the guest editor, Aliya Kuzhabekova, from University of Calgary, Canada.In this Special Issue, articles explore the geopolitical, educational, and internationalization impacts from the war in Ukraine.This crisis has had widespread disruptions in international higher education impacting international research collaborations, institutional partnership, and mobility flows for both in-bound and out-bound.Refugee mobility and immigration are another outcome of the crisis.As shown in the articles, the crisis impacts countries throughout post-Soviet Eurasia, neighboring countries, and those countries in Europe and North America that are receiving immigrants and refugees.JCIHE is an open access, independent, double-blinded peer-reviewed international journal publishing original contributions to the field of comparative and international higher education.The JCIHE is the official journal of the Comparative and International Education Society (CIES) Higher Education Special Interest Group (HESIG).The mission of the journal is to serve as a place to share new thinking on analysis, theory, policy, and practice, and to encourage reflective and critical thinking on issues that influence comparative and international higher education.JCIHE showcases new and diverse international research that uses rigorous methodology that focuses on theory, policy, practice, critical analysis, and development analysis of issues that influence higher education.JCIHE has as its core principles: a) comparative research; b) engagement with theory; and c) diverse voices in terms of authorship.
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.
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 | 0.017 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.017 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.193 | 0.092 |
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".