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Record W4403670018 · doi:10.5430/ijhe.v13n5p29

International Cooperation in Higher Education: Perspectives of Heads of International Cooperation from Cases of European Universities

2024· article· en· W4403670018 on OpenAlexvenueno aff
Zhengwen Qi, Meiying Jing, Chang Zhu

Bibliographic record

VenueInternational Journal of Higher Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHigher educationInternational educationInternational tradeRegional scienceBusinessSociologyLaw

Abstract

fetched live from OpenAlex

Fostering international cooperation is essential for addressing global challenges. However, increasing uncertainties and polarisation necessitate a re-evaluation of the rationale and management of international cooperation among higher education institutions (HEIs). Recent research calls for greater attention to international cooperation beyond like-minded countries and emphasises the importance of understanding the perspectives of heads of international cooperation. This study addresses this theoretical gap by examining cooperation with Chinese universities from the perspectives of nine heads of international cooperation at six European universities.Utilising semi-structured interviews and reflexive thematic analysis, this study elucidates how these European universities establish and maintain cooperation with their Chinese counterparts. It clarifies the interactions among universities, governmental bodies, and policies, and identifies challenges encountered during cooperation. The findings contribute to the literature by offering practical insights and providing contextualised empirical data on future directions for international cooperation between European and Chinese HEIs. This study underscores the active and autonomous roles that universities should play in fostering international cooperation amid global uncertainties.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.659
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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.

Opus teacher head0.021
GPT teacher head0.349
Teacher spread0.328 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2024
Admission routes1
Has abstractyes

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