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Record W4286216312 · doi:10.1080/23322969.2022.2096106

Ideal immigrants in name only? Shifting constructions and divergent discourses on the international student-immigration policy nexus in Australia, Canada, and Germany

2022· article· en· W4286216312 on OpenAlexafffundabout
Emma Sabzalieva, Amira El Masri, Anumoni Joshi, Melissa Laufer, Roopa Desai Trilokekar, Christina Haas

Bibliographic record

VenuePolicy Reviews in Higher Education · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and experiences of immigrants and refugees
Canadian institutionsYork University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsImmigrationNexus (standard)Ideal (ethics)Immigration policyIdeal typePolitical scienceSociologyGender studiesSocial scienceLaw

Abstract

fetched live from OpenAlex

The proposition that international students are not only sojourners but future immigrants has become well established in public policy. While education and immigration policy have become more intertwined, they continue to be analysed as separate spheres of influence. This paper compares Australia, Canada, and Germany, which between them host nearly 20% of all globally mobile students and where a nexus between international student and immigration policy has emerged. Using critical discourse analysis, a comparative case study design and based on a systematic literature review of over 300 studies published from 1990 to 2018, the findings revealed three ostensibly paradoxical discourses, which are discussed using the new term ‘discursive pairings’. First, international students are selected for success but remain vulnerable to policy shifts that may exclude them and cause them to ‘fail’. Second, international students are retained to fill economic shortages, but face difficulties being accepted on the labour market. Third, international students help build national reputation yet have been known to be exploited and subject to discrimination. The contradictions that emerge in the discourses bring into question the ‘ideal immigrant’ framing of international students, demonstrating that their role, acceptance, and ability to integrate into host countries is far from assured.

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)0.001
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 score0.287
Threshold uncertainty score0.400

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.049
GPT teacher head0.403
Teacher spread0.354 · 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

Citations17
Published2022
Admission routes3
Has abstractyes

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