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Record W4393391983 · doi:10.5206/cie-eci.v53i1.15076

What makes a “distinguished global scholar” in global education? : (Trans)formative experiences toward global mindedness

2024· article· en· W4393391983 on OpenAlexaffvenue
Haoming Tang, Paul Tarc, James S. Budrow, Polin Sankar Persad

Bibliographic record

VenueComparative and International Education · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsUniversity of SaskatchewanWestern University
Fundersnot available
KeywordsFormative assessmentGlobal educationPedagogyEpistemologyPsychologyEngineering ethicsSociologyPolitical sciencePhilosophyEngineering

Abstract

fetched live from OpenAlex

Having an international experience, often through study abroad, has been a consistent theme in global education. There are a multitude of research studies on how international experiences foster global mindedness. In these studies, it is common for researchers to ask participants to reflect on their international experiences. In contrast, we took an alternative and slightly experimental qualitative approach to dig into the processes of becoming globally minded. Using existing and documented narratives as data, we examined the life-long learning processes of thirteen “distinguished global scholars.” Our study illuminates the (trans)formative experiences that contributed to their global mindedness. Four common themes emerged from our analysis: (1) Experiencing war and/or political tension; (2) Encountering social injustice; (3) Engaging with socio-cultural difference; and (4) Leaving the familiar / reaching out to the unknown. The findings and discussion deepen the understanding of how global mindedness is developed and offers insights for educational interventions.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.270
Threshold uncertainty score1.000

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 communication0.0020.003
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.076
GPT teacher head0.463
Teacher spread0.387 · 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 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

Citations0
Published2024
Admission routes2
Has abstractyes

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