Food insecurity, poverty and lived experience of homelessness: a study of women in Northeastern and Southwestern Ontario
Notice bibliographique
Résumé
Understanding the connections between geographical location (Northern vs Southern Ontario) and gender inequalities and food insecurity, poverty, homelessness and health is vital within the current social and political context characterized by restraints in public funding. First, this study describes the experiences of poor and/or homeless women with or without dependents in two mid-size urban communities in Northeastern Ontario (City of Greater Sudbury) and Southwestern Ontario (City of London Ontario) with regard to food insecurity, homelessness, poverty and the perceived impacts on physical and mental health. Second, it identifies the profile of food-insecure women in Northeastern and Southwestern Ontario, as well as the factors associated with their general and mental health perceptions. The study employed a sequential descriptive multi-methods approach to address the objectives. A descriptive, qualitative exploration of food insecurity experiences among poor and/or homeless women in the two regions was conducted. Data were collected through a semi-structured interview with twenty poor and/or homeless women, 10 from each of the two communities. The participants were near homeless or absolutely homeless and all had prior histories of homelessness. The interview data were thematically analyzed. Subsequently, a quantitative secondary data analysis of extracted variables including sociodemographic, health and food insecurity from the Canadian Community Health Survey (CCHS, 2014) was conducted to describe the profile and factors associated with general and mental health perceptions for 408 women in the northeast and southwest of Ontario. The main themes were food and financial hardship, motherhood, resourcefulness and health perceptions. The quantitative findings did not capture the association between health perceptions and place of residency among food-insecure women. The general and mental health perceptions of these women were significantly related to household size, employment, worries about running out of food, inability to afford balanced meals and cutting or skipping meals regardless of where they lived. This study’s findings highlight the intersection of geography, health, gender and vulnerability to food insecurity and show that Northeastern and Southwestern women merit greater attention and support in accessing nutritious food. Such findings are important in shaping gendered public and social policies.
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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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,010 | 0,002 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».