Women’s experiences of homelessness and violence during the COVID-19 pandemic in Canada’s largest city: an integrated qualitative analysis of clients of violence against women organizations and encampment residents
Notice bibliographique
Résumé
BACKGROUND: Violence against women (VAW) is the most common cause of women's homelessness. However, policy and programming for VAW and homelessness have developed and operated in siloes in many countries, including Canada, limiting capacity to address the unique needs of women facing both interrelated issues. This study uniquely analyzes data from participants experiencing violence and homelessness drawn from each of the VAW and homelessness sectors at the height of the COVID-19 pandemic in Canada's largest city, Toronto. METHODS: We qualitatively analyzed data from two studies conducted concurrently in 2021 as part of the Marginalization and COVID-19 (MARCO) Project, which aimed to investigate outcomes of the COVID-19 response among people experiencing marginalization in the Greater Toronto Area. Participants were 10 survivors who accessed VAW services and 23 residents of homeless encampments. We applied a reflexive thematic analysis within a feminist poststructuralist framework to explore participants' experiences of violence and homelessness and interrogate the structural factors that dictate which and how different participants 'end up' in different sectors and their outcomes. RESULTS: We generated three themes in our analysis: (1) inequities exacerbated: (abuse of) power and control as pathways into women's homelessness; (2) negotiating trade-offs between safety and autonomy; and (3) gender stereotypes versus gender-transformative approaches. There was a common pathway of VAW to homelessness, exacerbated by the COVID-19 pandemic and most acutely felt by participants facing intersecting forms of marginalization (e.g., economic or immigration precarity). Considerations around safety and autonomy were central to shaping experiences of women's homelessness. Participants described ways in which gender stereotypes, both internalized and at systems- and organizational-levels, harmed them in terms of service (in)access - especially for women who used substances or were lone caregivers. The most positive experiences when accessing shelter or housing services were when participants received gender-specific supports that promoted their safety and empowerment - in many cases, in spite of the constraints presented by COVID-19 public health measures. CONCLUSIONS: Our results highlight the need for strengthened collaboration between the VAW and housing/homelessness sectors and a unified policy strategy to address homelessness that applies a gender-transformative and intersectional approach, during and beyond public health emergencies.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,006 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,004 |
| Études des sciences et des technologies | 0,022 | 0,017 |
| Communication savante | 0,006 | 0,003 |
| Science ouverte | 0,003 | 0,006 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».