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Record W3217460192 · doi:10.32674/jis.v12i3.3603

Socialization Towards Internationalization

2021· article· en· W3217460192 on OpenAlexaff
Ren Zheng, Fei Wang

Bibliographic record

VenueJournal of International Students · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsInternationalizationSocializationPreparednessInternationalization of Higher EducationHigher educationPublic relationsPerceptionPedagogyStakeholderSociologyPsychologyPolitical scienceSocial psychologyBusiness

Abstract

fetched live from OpenAlex

Although students are the main recipients of internationalization in higher education (IHE), research on IHE mainly focuses on particular nations or educational institutions rather than the individual. Perceptions of university students towards internationalization, particularly what may impact their preparedness for and critical awareness of internationalization are largely lacking. This study explores in what ways students’ diverse socialization or experiences of socializing with different stakeholder’s impact their preparedness for and awareness of increasing internationalization in higher education institutions. The study utilizes data from a survey conducted with 511 students at two Chinese universities. The study found that students with diverse socialization backgrounds are more likely to develop a critical awareness of the social impact of internationalization, and that they believe internationalization enables them to learn from others, to develop capacities to analyze global issues, to develop skills to work with cultural others, and to make ethical decisions on social issues.

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)0.001
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 score0.728
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.036
GPT teacher head0.404
Teacher spread0.368 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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