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Record W4393341729 · doi:10.5130/ccs.v15.i3.8777

Cosmopolitan Paradox? The Labour Market Experiences of Newcomer Skilled Workers

2024· article· en· W4393341729 on OpenAlex
Christina Gabriel, Luisa Veronis

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCosmopolitan Civil Societies An Interdisciplinary Journal · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsUniversity of OttawaCarleton University
FundersBiomedical Research CouncilSocial Sciences and Humanities Research Council of Canada
KeywordsLabour economicsBusinessEconomics

Abstract

fetched live from OpenAlex

Canada’s national narratives gesture to cosmopolitan ideals by celebrating the country as open and inclusive through the working of its immigration policy. Indeed, it has been suggested that Canada may be oriented toward a form of ‘rooted cosmopolitanism’. This vision stands at odds with the experiences of skilled migrants who often encounter hurdles in the labour market. In this paper, we probe the ‘cosmopolitan paradox’ and its implications. Through a qualitative case study of 36 skilled newcomers, we document their experiences as they attempt to enter the labour market encountering barriers that reassert national frames and ‘Canadian standards’. We argue that if Canada is to live up to the promise of a cosmopolitan ideal, the stratifications and exclusions that mark the lives of newcomers need to be addressed. It is not enough to attract increasing numbers of immigrants if they cannot become full members of the Canadian national community.

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.

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 categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.380
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0030.002
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.017
GPT teacher head0.346
Teacher spread0.329 · 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