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Record W2996325980 · doi:10.21810/sfuer.v12i3.1019

Internationalization at Home, COIL and Intercomprehension

2019· article· en· W2996325980 on OpenAlex

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.

fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueSFU Educational Review · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Digital Technologies
Canadian institutionsnot available
FundersSimon Fraser University
KeywordsInternationalizationCurriculumHegemonyInternationalization of Higher EducationPolitical sciencePublic relationsInformation and Communications TechnologyProcess (computing)SociologyPedagogyKnowledge managementBusinessComputer scienceInternational trade

Abstract

fetched live from OpenAlex

This study aims to explore the concept, benefits, challenges and activities related to Internationalization at Home (IaH), defined as the integration of international/intercultural dimensions into the formal/informal curriculum in domestic learning environments (Beelen & Jones, 2015), as an alternative for more inclusive activities in higher education, within the process of internationalization. The study also offers a review of studies carried out mainly in Brazil by a Brazilian research group. Considering the importance of information and communication technologies (ICTs) in current practices of education and international exchange, this study explores possibilities of approaches such as COIL (Collaborative Online International Learning), allied with the Intercomprehension approach (IA) to suggest the development of more multilingual and inclusive activities, which foster IaH as an alternative to current and hegemonic internationalization practices. The paper concludes with some suggestions for the incorporation of such approaches, assuming that IaH should be prioritized in the internationalization agenda once it caters for a larger audience and, as such, is more inclusive and democratic.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.892
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.033
GPT teacher head0.373
Teacher spread0.340 · 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