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Record W4409169152 · doi:10.1111/imig.70024

Resettlement of the first wave of Syrian refugees in Canada: Language training, employment‐related services and employment income

2025· article· en· W4409169152 on OpenAlexaffabout
Yuchen Li, Michael Haan

Bibliographic record

VenueInternational Migration · 2025
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsWestern University
Fundersnot available
KeywordsRefugeeTraining (meteorology)Political scienceDemographic economicsEconomic growthLabour economicsEconomicsGeographyLaw

Abstract

fetched live from OpenAlex

Abstract This paper uses a unique, linked administrative data file to examine the impact of language training and employment‐related services on the employment income of the first wave of Syrian refugees admitted to Canada between 2015 and 2016. The analysis reveals a significant positive relationship between refugees' access to employment‐related services and higher employment income. However, this positive effect is not observed for participants in language training programs. The economic benefits of employment‐related services are more pronounced for Privately Sponsored Refugees and Blended Visa Office‐Referred Refugees than for Government Assisted Refugees. This disparity may be attributed to refugees' greater reliance on bridging social capital rather than on support from government agencies. Additionally, employment‐related services are more effective in larger urban centres than in mid‐sized or smaller communities. These findings highlight the importance of enhancing settlement service delivery in smaller and mid‐sized communities to improve refugee labour market outcomes.

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 score0.287
Threshold uncertainty score0.298

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.014
GPT teacher head0.306
Teacher spread0.292 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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