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Record W4360842399 · doi:10.5206/cie-eci.v51i2.15107

Book Review of Higher Education in the Era of Migration, Displacement and Internationalization

2023· article· en· W4360842399 on OpenAlexaffvenue
Linyuan Guo-Brennan

Bibliographic record

VenueComparative and International Education · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Learning Practices
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsScholarshipHigher educationPolitical scienceEquity (law)InternationalizationRefugeeContext (archaeology)Inclusion (mineral)Global educationEconomic growthSociologyPublic relationsPedagogyGender studiesGeographyBusinessLaw

Abstract

fetched live from OpenAlex

This is book review of a timely publication on addressing social justice issues unique to migrant and refugee learners, a vulnerable yet underserved population in global higher education systems. It examines how higher education institutions globally can increase access, participation, and success of displaced people in the global context. It fills a gap in the current literature on international higher education. This book summarizes the existing body of knowledge on international migration, students' voices and experiences from different nations and continents, and higher education policy, leadership, programs, and services for displaced students. Through presenting cutting-edge scholarship on diversity, equity, and inclusion in global higher education, the book exemplifies critical scholarship and innovative practices in improving atypical students' access to higher education in the global context.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.043
Threshold uncertainty score0.144

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0430.018

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 head0.075
GPT teacher head0.489
Teacher spread0.414 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations1
Published2023
Admission routes2
Has abstractyes

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