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Record W4293585942 · doi:10.32674/jis.v13i2.4038

Race and Neoliberalism in the Labour Market Integration of International Student Graduates in Canada

2022· article· en· W4293585942 on OpenAlexaffabout
Everton Ellis

Bibliographic record

VenueJournal of International Students · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicHigher Education Governance and Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsNeoliberalism (international relations)Salience (neuroscience)ImmigrationRace (biology)SociologyPolitical scienceGender studiesPolitical economyPsychologyLaw

Abstract

fetched live from OpenAlex

This paper illustrates the mutually constitutive processes of race and neoliberalism in the labour market navigation and integration for Black Caribbean and South/Southeast Asian international student graduates in Canada. The data was gathered from recent international students and key informants in Canada’s immigration policy circle using semi-structured interviews. The paper reveals that international student graduates are constrained to seek out precarious and low-skilled forms of employment and participate in a labour market that profits from cheap, exploitable flexible labour. Participants in areas outside the populous Greater Toronto and Hamilton Area are perceived as contingent workers. The paper concludes on the salience using a non-racial analysis of neoliberalism to interpret the postgraduation employment of international students.

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)0.002
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 score0.177
Threshold uncertainty score0.617

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.012
GPT teacher head0.332
Teacher spread0.320 · 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

Citations4
Published2022
Admission routes2
Has abstractyes

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