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Record W2339170155

Temporary or Transitional? Migrant Workers’ Experiences with Permanent Residence in Canada

2015· article· en· W2339170155 on OpenAlexaffabout
Delphine Nakache, Leanne Dixon-Perera

Bibliographic record

VenueSSRN Electronic Journal · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicMigration and Labor Dynamics
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsResidenceImmigrationSettlement (finance)Migrant workersWork (physics)Demographic economicsPolitical scienceBusinessEconomic growthEconomicsEngineeringLaw
DOInot available

Abstract

fetched live from OpenAlex

Although more and more temporary migrant workers are becoming permanent residents in Canada, their experience with immigration opportunities remains under-studied. This study aims to fill that gap by examining the lived experience of migrant workers — in skilled and low-skilled occupations — who transition to permanent residence. Authors Delphine Nakache and Leanne Dixon-Perera rely on interviews and focus group discussions with 99 participants (including current and former migrant workers who have become permanent residents, nongovernmental organizations, employers and public servants) to address the following research questions: What factors lead migrant workers to seek permanent residence? What challenges do they face in their transition to permanent residence, and how do they overcome them? What are the implications of two-step migration for settlement?A considerable number of the migrant workers interviewed indicated that their decision to seek permanent residence was not made before they arrived in Canada. Their decisions were influenced by recruiters abroad, friends, family, settlement agencies and employers. Federal and provincial governments’ policies have especially important implications for those decisions. For example, the federal policy that allows migrant workers to stay in Canada for no more than four years at a time (the “four-in, four-out” rule) has encouraged workers to pursue permanent residence but has created risks — including seeking work underground — that may outweigh the potential benefits. Once the decision to immigrate is made, however, migrant workers are usually not willing to give up, despite the difficulties they face.During their transition to permanent residence, migrant workers encounter several types of obstacles. Especially difficult are language proficiency requirements and the often-stringent rules of employer-driven streams that are an important part of most Provincial Nominee Programs. Applying for permanent residence entails challenges such as navigating existing immigration programs and intransigent decisions by some immigration officers. In addition, prolonged family separation during the transition to permanent residence has negative impacts, especially for workers in low-skilled occupations who had to leave their families at home to come to Canada. Temporary workers do not have access to federally funded settlement services. Some provincial governments and other players are filling this gap, but research participants agreed that migrant worker legal services and language training need to be urgently addressed.To facilitate linkages between temporary labour migrants’ experience and pathways to permanent residence, the authors recommend removing the “four-in, four-out” rule, extending the right to family accompaniment to migrant workers in low-skilled positions, reassessing language requirements for migrant workers who transition to permanent residence, and providing language training for migrant workers upon arrival. They also put forward two policy ideas for further study and discussion: reconsidering the reliance on employer sponsorship and introducing a federal pathway to permanent residence for workers in low-skilled occupations.

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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.408
Threshold uncertainty score0.947

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.017
GPT teacher head0.259
Teacher spread0.243 · 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 designQualitative
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

Citations29
Published2015
Admission routes2
Has abstractyes

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