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Record W4414978232 · doi:10.1353/ces.2025.a971483

“They had a privilege that we did not”: The Intersectional Experiences of Immigrant PSWs in Ontario During the COVID-19 Pandemic

2025· article· en· W4414978232 on OpenAlexvenueaboutno aff
Quinn Talbot, Francisca Omorodion, Godwin Arku, Isaac Luginaah

Bibliographic record

VenueCanadian ethnic studies · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsImmigrationPrivilege (computing)Health carePandemicWorkforceIntersectionalityJob security

Abstract

fetched live from OpenAlex

Abstract: Historically, in the healthcare sector, racialized immigrants are concentrated in low-skilled and low-paying jobs like personal support workers (PSWs), with their contributions often being undervalued. They find themselves in these jobs largely because of structural factors such as the colour-coded labour market, proletarianization, and the stratification of care work. The COVID-19 pandemic had a substantial impact on the healthcare system, with healthcare workers (HCWs) facing several unprecedented challenges. Within the health workforce in Canada, PSWs play an integral role, notably in providing care for vulnerable populations such as the elderly and differently-abled people. This study examines the role that racialized PSWs with multiple intersectional identities (e.g. race, gender, and class) play in providing care during COVID-19 pandemic in Southwestern Ontario. Drawing data from in-depth interviews (n=25), the findings demonstrate that racialized immigrant PSWs faced challenges, which included financial concerns due to lockdown and restrictions, concern for immediate and extended family, challenges related to personal safety, and food insecurity. Overall, we conclude that racialized immigrant PSWs faced disproportionate disadvantages in times of crisis because of poor income and systemic inequalities. Therefore, there is a need for policies to better prepare racialized immigrant PSWs for future pandemics. Résumé: Historiquement, dans le secteur des soins de santé, les immigrants racialisés sont concentrés dans des emplois peu qualifiés et mal rémunérés tels que les préposés aux services de soutien personnel et leurs contributions sous-estiment souvent des questions telles que le marché du travail codé par couleur, la prolétarisation et la stratification du travail de soins. La pandémie de COVID-19 a eu un impact considérable sur le système de santé. Les travailleurs de la santé ont été confrontés à plusieurs défis sans précédent. Au sein du personnel de santé au Canada, les préposés aux services de soutien personnel jouent un rôle essentiel, notamment dans la prestation de soins aux populations vulnérables telles que les personnes âgées et les personnes avec des handicaps. Cette étude examine le rôle que jouent les préposés aux services de soutien personnel racialisés ayant des identités multiples et croisées (par exemple, la race, le genre et la classe) dans dans la prestation de soins pendant la pandémie de COVID-19 dans le sud-ouest de l’Ontario. Les données tirées d’entretiens approfondis (n=25) ont montré que les préposés aux services de soutien personnel immigrants racialisés étaient confrontés à des difficultés, notamment des problèmes financiers dus au confinement et aux restrictions, des préoccupations pour la famille immédiate et distant, des problèmes liés à la sécurité personnelle et à l’insécurité alimentaire. Dans l’ensemble, nous concluons que les préposés aux services de soutien personnel immigrants racialisés sont confrontés à des désavantages disproportionnés en temps de crise, en raison de leurs faibles revenus et des inégalités systémiques. Il est donc nécessaire de mettre en place des politiques visant à mieux préparer les préposés aux services de soutien personnel immigrants racialisés aux futures pandémies.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.449
Threshold uncertainty score0.631

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 studies0.0010.001
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 head0.148
GPT teacher head0.383
Teacher spread0.235 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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