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Record W3024146107 · doi:10.1002/berj.3637

Internationalisation of higher education: A critical analysis of the intercultural dimension of a visiting scholar programme

2020· article· en· W3024146107 on OpenAlexaffabout
Huan Zheng, Fatima Pirbhai‐Illich, Fran Martin, Liqin Wu

Bibliographic record

VenueBritish Educational Research Journal · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsThe ImaginaryLocalismArticulation (sociology)ColonialismInternationalizationSociologyDimension (graph theory)Neoliberalism (international relations)PedagogyPolitical scienceGender studiesSocial sciencePsychology

Abstract

fetched live from OpenAlex

This article reports the findings of a study on the intercultural dimension of internationalisation at two universities, located in China and Canada, as evidenced through their visiting scholar (VS) programme. Andreotti and her research team identified three articulations of internationalisation in higher education that are located in a modern/colonial imaginary. They propose a fourth articulation, relational trans‐localism, that is located outside the modern/colonial imaginary. As participants in the VS programme, we used critical ethnography and critical discourse analysis to investigate the influences of the modern/colonial articulations on the intercultural dimension of the program, and our attempts to develop practices outside the modern/colonial imaginary. Our findings show that although the programme was profoundly affected by neoliberal and liberal discourses, we achieved some success in creating spaces of relational trans‐localism. We conclude by identifying the factors that were enabling of these alternative spaces.

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 imitation

Not 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.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.003
Science and technology studies0.0150.034
Scholarly communication0.0110.006
Open science0.0020.008
Research integrity0.0020.005
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 head0.156
GPT teacher head0.488
Teacher spread0.332 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations9
Published2020
Admission routes2
Has abstractyes

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