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Record W1578813657 · doi:10.47678/cjhe.v35i1.183491

Globalization, Internationalization, and the Recruitment of International Students in Higher Education, and in the Ontario Colleges of Applied Arts and Technology

2005· article· en· W1578813657 on OpenAlexaffvenueabout
Geoffrey E. Cudmore

Bibliographic record

VenueCanadian Journal of Higher Education · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsLoyalist College
Fundersnot available
KeywordsInternationalizationGlobalizationExcellenceHigher educationInternational educationPolitical scienceThe artsMulticulturalismEconomic growthComparative educationSociologyPublic relationsPedagogyBusinessEconomics

Abstract

fetched live from OpenAlex

This paper explores general issues relating to globalization and higher education; the internationalization of higher education, and particularly the recruitment of international students. This subject is examined through a range of topics around the global development of the market approach to the recruitment of international students and a focus on the current situation regarding the recruitment of international students in the Colleges of Applied Arts and Technology in Ontario (CAATs). As the number of international students seeking educational opportunities grows to 7 million over the next 20 years, the ability of the CAATs, the Canadian educational system, and the governments of Ontario and Canada to market the welcoming and safe multicultural Canadian experience, and the excellence of the educational offerings and opportunities in CAATs to potential international students will, in great measure, determine their success and their survival in an increasingly globalized world.

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)0.008
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.969
Threshold uncertainty score0.698

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.014
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0200.008
Scholarly communication0.0080.002
Open science0.0010.008
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.020
GPT teacher head0.321
Teacher spread0.301 · 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 designObservational
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

Citations93
Published2005
Admission routes3
Has abstractyes

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