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Record W2910713738

Internationalization of Higher Education within Canada’s Migration Management Framework: Supply Side of International Student Migration

2018· article· en· W2910713738 on OpenAlexaboutno aff
Alexandra M. Bozheva

Bibliographic record

VenueScholarship@Western (Western University) · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsnot available
Fundersnot available
KeywordsInternationalizationBusinessSupply sideHigher educationPolitical scienceEconomic geographyEconomic growthInternational tradeEconomicsCommerce
DOInot available

Abstract

fetched live from OpenAlex

This dissertation offers an integrative look into the supply side of international student migration (ISM) in Canada. Within its scope, supply side of ISM is understood as a space of interactions of the two key involved domains: education industry and migration management.\nDrawing from previous empirical and theoretical works, this thesis investigates a set of research questions, starting with: (1) how the institutional domain structures the international student enrolment, and (2) how the pursuit of education suppliers’ collective agenda can influence policies defining ISM. With the neoliberal transformations of the late 1970s in education funding, Canadian higher education institutions (HEIs) have become commercialized and mobilized, pursuing student recruitment as a means to compensate for reduced governmental support. With strengthening revenue-seeking motivations behind internationalization of Canadian HEIs, concentration of undergraduate students in ISM inflow has been growing. This trend of ‘bachelorization’ was not mirrored in the domestic student body. ‘Bachelorization’ affected international student retention outcomes, leading to a decreasing proportion of graduate degrees holders among new permanent residents-former student permit holders.\nFurther, HEIs, united under the shared funding concerns and market interests, have found and have used their collective voice through networking organizations to pursue their agenda in communications and collaborations with the federal government. As an outcome, in 2014, Canada, where education is a strictly provincially-regulated sphere, has arrived at the International Education Strategy, overcoming the fragmented governance of the education sector. With this document, a new, collaborative mode of neoliberal governance has emerged - federally institutionalized mode of neoliberalism or ‘supra-neoliberalism’.\nWithin the migration policy domain, the dissertation further examines the question (3) of how federal and provincial migration policies structure the landscape of possibilities for permanent student retention. Through a comparative analysis of Provincial Nominee Programs, I explore how the process of “regionalization of immigration” (Akbari and MacDonald 2014) has been taking over Canadian policy space, and what consequences it entailed for the ISM management.\nThe last integral part of the dissertation investigates (4) the question of the geographical stretch of the education domain’s engagement in student retention. Through analyzing immigration advising support availability across Canadian campuses, this component treats HEIs as channels of permanent talent immigration. The findings show that HEIs’ interest and advocacy in attraction far outweigh their current involvement in retention, which is geographically uneven and insufficient.\nThis dissertation advances understanding of ISM as a supply-stimulated, multi-domain and a multi-scalar affair, it makes several original empirical and theoretical contributions, and provides a research platform for developing a more cohesive international student retention policy.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.664
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.044
GPT teacher head0.354
Teacher spread0.310 · 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.

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

Citations3
Published2018
Admission routes1
Has abstractyes

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