MétaCan
Menu
Back to cohort
Record W3024724606 · doi:10.5430/ijhe.v9n4p46

Mobility in the Internationalisation of Higher Education Institutions

2020· article· en· W3024724606 on OpenAlexvenueno aff
Sandro Serpa, Suzana Nunes Caldeira, Margarida S. Damião Serpa, Rolando Lalanda-Gonçalves, Helena Mateus Montenegro, Isabel Estrela Rego

Bibliographic record

VenueInternational Journal of Higher Education · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsnot available
FundersFundação para a Ciência e a TecnologiaMinisterio de Economía y Competitividad
KeywordsErasmus+InternationalizationInstitutionHigher educationContext (archaeology)Relevance (law)European unionPedagogyQuality (philosophy)Academic mobilitySociologyPublic relationsPolitical scienceBusinessSocial scienceEpistemologyGeography

Abstract

fetched live from OpenAlex

International mobility of higher education institutions’ members within the European Union is explicitly encouraged and used as one of the higher education institutions’ quality criteria. This paper aims to contribute to the analysis of the phenomenon of international mobility between higher education institutions, especially within the European area in the broad sense, and for which the ERASMUS+ Programme is paradigmatic. The authors have been linked to mobility processes by addressing issues of internationalisation and receiving and sending students and teachers in and out of their institution, and/or hosting them in curricular units taught by them or in other training actions. It is in this context that theoretical reflection has been carried out, to respond to the objective of analysing the relevance of mobility in the internationalisation of higher education institutions and to reflect on questions of its evaluation. It is concluded that there is interest in allowing a mutually enriching scientific dialogue for the personal and professional development of those involved – students, academics and other staff members. Furthermore, it is institutionally considered that the higher education institution is promoting its quality and image if it provides an in-depth exchange of ideas and practices that foster improvements in teaching and research of the institutions involved. It is also concluded that there is a need for structures to respond to this new reality and that the evaluation processes can contribute to measuring and promoting it.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.738
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.052
GPT teacher head0.403
Teacher spread0.351 · 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 designTheoretical or conceptual
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

Citations17
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Higher EducationSame topicHigher Education Governance and DevelopmentFrench-language works237,207