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Enregistrement W7046876487

Exploring the impacts of precarious work and family caregiving on the health of African immigrant women amidst the COVID-19 pandemic in Ontario, Canada.

2023· dissertation· en· W7046876487 sur OpenAlexaffabout

Notice bibliographique

RevueUWSpace (University of Waterloo) · 2023
Typedissertation
Langueen
DomainePhysics and Astronomy
ThématiqueMagnetic confinement fusion research
Établissements canadiensPublic Health Ontario
Organismes subventionnairesnon disponible
Mots-clésImmigrationPandemicPopulationAffect (linguistics)Health careHealth equityEthnic groupWork (physics)Toll
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Introduction: Immigrants’ health and wellbeing in host countries have long been an important but controversial issue, hampered by systemic inequalities. In Canada, immigrants constitute over one-fifth of the total population and are an indispensable contributor to the strong economy. However, studies show that while immigrants are healthy when they arrive, they subsequently face health deterioration: one which is worse than those of recent immigrants and the Canadian-born population; a phenomenon described as the “healthy immigrant effect”. One crucial but underestimated determinant of immigrants’ health is their employment conditions. Most immigrants are “caught in” precarious work as they lack the Canadian-specific qualifications to work in well-paid and secured jobs. While most immigrants experience employment disparities, African immigrant women have it worse. They constitute the poorest racialized group and suffer severe socio-economic marginalization. The reality of being an African woman and a member of a racial minority group intersect to create disadvantages that may not similarly affect other populations. Moreover, the lack of scholarly work on their labour market relations complicates and widens the economic disparities they face. Family caregiving forms a vital aspect of life for immigrant women and women of colour; and they take on a disproportionate amount of both paid and unpaid family caregiving. Although family caregiving signifies an act of love, it exerts both a physical and emotional toll on women’s health. Also, the stress and strain of caregiving often exacerbate existing health conditions or cause new health problems for caregivers. While COVID-19 affected everyone, some individuals are at a greater risk of developing severe health and economic complications due to their social location. The study objective is therefore to explore the impacts of precarious work and family caregiving on the health of African immigrant women during COVID-19 in Ontario. \n \nMethods: This dissertation research utilized a qualitative research design, and it was informed by the theory of Intersectionality to examine the impact of precarious work and family caregiving on the health of Black African immigrant women’s health during COVID-19 in Ontario. Briefly, the objectives of this study were: to examine the how the intersectional identities of African immigrant women impact their employment experiences in Canada, to explore the unique experiences that accompany African immigrant women navigating their precarious work and family caregiving responsibilities during a pandemic, and to provide a broader scientific understanding of issues related to systemic inequities and health for African immigrant women during COVID-19 in Canada. Two manuscripts addressed these objectives by drawing on in-depth, semi-structured interviews with 15 precariously employed African immigrant women in Ontario. Thematic narrative analysis was used to analyze data and to provide rich layers of information. One manuscript addressed these objectives by using in depth literature review and an intersectional framework to discuss how the social identities of African immigrants (including women) intersected to create systemic inequities for them. \n \nFindings: Our study results suggested that the intersection of African immigrant women’s social identities such as race, gender, and immigration status, predisposed them to poor employment, housing and health outcomes. The effects of COVID-19 further worsened their socio-economic status and placed them at high risks of poor health outcomes. Our study results also found that that African immigrant women faced challenges in their search of professional jobs due to the non-recognition of foreign credentials in the Canadian labor market. Thus, they were forced to settle for low-status jobs and continued to experience poor labour market outcomes such as poverty. Their experiences in the labour market were mainly reflected in the intersection of their race, education, immigration status, and gender. Finally, our findings revealed that African immigrant women struggled to balance their precarious work and household responsibilities. During COVID-19, their household and precarious work responsibilities increased, but they received limited support. As a result, they faced health and socio-economic challenges. \n \nConclusion: Our study expanded the understanding of how the intersection of African immigrant women’s social identities of led to their employment challenges and struggles in effectively balancing their work-family responsibilities during COVID-19. Our study also contributed to the scientific understanding of issues related to systemic inequities in work, living conditions and health among African immigrants (women) in Canada. Equity-focused research, policy initiatives, and strategies are encouraged to take an intersectional approach to understanding how social identities interact and contribute to inequities in the settlement and employment integration of immigrant women especially. Finally, a critical race perspective is needed in protecting immigrant workers’ rights. This will hold employers and policymakers economically and socially accountable for discriminative work conditions and practices.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,046
Score d'incertitude au seuil0,335

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0080,001
Communication savante0,0010,001
Science ouverte0,0010,002
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,035
Tête enseignante GPT0,231
Écart entre enseignants0,195 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2023
Routes d'admission2
Résumé présentoui

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