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Record W4399218981 · doi:10.5040/9781350211742

Language, Culture, and Education in an Internationalizing University

2024· book· en· W4399218981 on OpenAlexaboutno aff

Bibliographic record

VenueBloomsbury Publishing Plc eBooks · 2024
Typebook
Languageen
FieldArts and Humanities
TopicSecond Language Learning and Teaching
Canadian institutionsnot available
Fundersnot available
KeywordsInternationalizationScholarshipGlobalizationHigher educationInstitutionPedagogyInternational educationSociologyMultilingualismPolitical scienceEthnographyPublic relationsSocial scienceAnthropology

Abstract

fetched live from OpenAlex

<JATS1:p>This book offers a multi-dimensional analysis of the experiences of faculty, students, and staff at a Canadian university that emphasizes international education, providing an ethnographic lens for understanding globalization and internationalization of higher education on a wider, global scale.</JATS1:p> <JATS1:p>The collaborative work of multiple authors based in different departments and roles within the university offers a holistic picture of current international education policies and practices, and how they coalesce to shape the experiences of all affected stakeholders. The book focuses on questions of cultural difference and the development of intercultural capital. and highlights engagement with English dominance, language matters and multilingualism in everyday experiences and pedagogical practices in the institution. The contributors address implications for attending to linguistic and cultural diversity in the policies and practices of an Anglo-dominant university that are applicable to similar contexts worldwide.</JATS1:p> <JATS1:p>As a self-study from a reputed university, the book provides valuable insights for higher education program leaders and decision makers to strategically rethink the value and quality of the internationalization activities they engage in, their scholarship and creative activities, and, above all, their commitment to ethical internationalizati</JATS1:p>

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 categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.885
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
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0030.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.018
GPT teacher head0.241
Teacher spread0.223 · 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 designNot applicable
Domainnot available
GenreOther

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 routes1
Has abstractyes

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