In Search of a Better Life: The Experiences of Working Poor Immigrants in Vancouver, Canada
Bibliographic record
Abstract
Abstract We utilized data from 72 in‐depth interviews with immigrant hotel and hospital support workers employed in the service sector of Vancouver, Canada to analyse migration decisions and subsequent experiences after arrival. We found that migrant social networks were centrally important, both as a stimulus for migration and in shaping post‐arrival experiences. At the same time, the working conditions faced by immigrants after arrival, such as low pay and long work hours, resulted in serious challenges. While some struggled with multiple jobs to make ends meet, others felt their economic circumstances prevented them from even bringing their children to Canada. In some cases, children were returned to their country of origin. Features of low‐wage service sector jobs also limited the time available for participation in community life. The findings both support and advance recent theoretical contributions about the incorporation of immigrants in the United States and Canada. As immigrants frequently face occupational downgrading and are channelled into low‐wage service sector jobs, the conditions of work and social policies are important for their post‐arrival experiences and incorporation. Going beyond traditional conceptions of citizenship in the immigration literature, some respondents acted through their union and community organizations to attempt to change society and improve their fortunes. While some sought social justice through political activism, others used their limited family and community life time to reterritorialize values from their countries of origin. Part of their activism was transnational, such as sending remittances to help loved ones back home, but other involvement included participation in organizations with the aim of promoting social justice or improving life in their new country. The experiences of immigrant service sector workers in Vancouver suggest a need for greater emphasis on the role of both immigrant and non‐immigrant specific social and labour policies for understanding immigrant incorporation in North America.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.034 | 0.008 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".