Precarity, Opportunity, and Adaptation: Recently Arrived Immigrant and Refugee Experiences Navigating the Canadian Labour Market
Bibliographic record
Abstract
Abstract Immigrants and refugees have contributed significant growth in the Canadian economy over the last three decades. Despite clear advantages of a smooth transition into the labour force, many newcomers experience multiple barriers impeding their pathways to sustainable livelihoods. Further, significant increases in refugee resettlement and asylum claims in Canada since 2015 resulted in a growing number of refugee newcomers entering the labour market, often facing additional challenges of precarious legal status while seeking employment. To interrogate the settlement landscape, this chapter examines newcomers’ employment-related needs, experiences, and aspirations through a case study of migrants and refugees in Greater Toronto. Using narrative-biographic interviews, the chapter presents an ethnographic approach to examine how individual migrants navigate labour market policies and settlement dynamics during their initial years. A biographical approach allowed us to focus on the interplay of migrant agency, precarity, and adaption to both long-standing labour market dynamics as well as new barriers and enablers brought on by the shifting sands of Canada’s pandemic affected economy. The chapter highlights how emotions, decisions, and actions are inter-related and coalesce with broader structural conditions within a network of actors – individuals, networks, and institutions – to shape the labour market experiences of recently arrived immigrants and refugees.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".