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Record W2234480529 · doi:10.36366/frontiers.v25i1.350

The Forum BEVI Project: Applications and Implications for International, Multicultural, and Transformative Learning

2015· article· en· W2234480529 on OpenAlexaff
Elizabeth Wandschneider, Dawn T. Pysarchik, Lee Sternberger, Wenjuan Ma, Kris Acheson, Brad Baltensperger, Rebecca Good, Brian Brubaker, Tamara Baldwin, Hajime Nishitani, Felix Wang, Jarrod Reisweber, Vesna Hart

Bibliographic record

VenueFrontiers The Interdisciplinary Journal of Study Abroad · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Education and Multiculturalism
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsTransformative learningMulticulturalismPolitical scienceMulticultural educationPedagogyEngineering ethicsSociologyEngineering

Abstract

fetched live from OpenAlex

Beginning with an overview of global education in the United States and a review of assessment instruments and approaches, this article presents 15 implications from the Forum-BEVI Project, a multi-year, multi-site assessment initiative that examined the processes and outcomes of international, multicultural, and transformative learning.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.397
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
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 head0.032
GPT teacher head0.401
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 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

Citations29
Published2015
Admission routes1
Has abstractyes

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