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Record W2952871683 · doi:10.55016/ojs/jet.v51i3.68268

Developing Intercultural Competence amongst Higher Education Staff: Is there a Role for Organizational Change Management?

2019· article· en· W2952871683 on OpenAlex
Erik Henningsmoen, Anayancy Solis

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of educational thought. · 2019
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicOrganizational Change and Leadership
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsOrganizational changeCompetence (human resources)PsychologyCultural competenceOrganizational culturePedagogyIntercultural competenceHigher educationPublic relationsSocial psychologyPolitical science

Abstract

fetched live from OpenAlex

Canadian higher education institutions are currently pursuing ambitious internationalization mandates. Due to the seriousness with which higher education institutions pursue internationalization and the difficulty of delivering on such mandates, it is important that institutions develop intercultural competence skills amongst their administrative staff. This paper will explore the importance of promoting and strengthening intercultural competence for higher education staff members to deliver on internationalization mandates and outcomes. The paper will also provide an overview of organizational change management, before exploring how institutions can use change management practice to support internationalization. To conclude, the paper offers a short list of recommendations for developing intercultural competence amongst administrative staff, through the lens of organizational change management.

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.

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)0.000
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 score0.821
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.049
GPT teacher head0.277
Teacher spread0.228 · 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