COVID-19 impacts on decarceration for Indigenous, Black, and other racialized people in Ontario, Canada: an interrupted time series study
Notice bibliographique
Résumé
Background: The COVID-19 pandemic response in many jurisdictions included efforts to depopulate correctional facilities. In the context of the overrepresentation of Indigenous and Black people in Canadian correctional facilities, we aimed to assess COVID-19 impacts on decarceration by race and Indigenous identity in Ontario, Canada. Methods: We accessed correctional administrative data for all people incarcerated in provincial correctional facilities in Ontario, Canada between 2015 and 2022. We categorized people using self-reported data into one of five identity groups: Indigenous, non-Indigenous Black, non-Indigenous non-Black racialized, non-Indigenous white, or missing. We conducted interrupted time series analyses, treating COVID-19 as an event on April 1, 2020, for each of admissions, releases, number of people in custody, and person-time in custody. Findings: Of 148,937 people who experienced incarceration, 85.4% were male and 14.5% were female, the mean age was 35.2 years (SD 12.2), and 11.7% were Indigenous, 12.1% were non-Indigenous Black, 12.1% were non-Indigenous non-Black racialized, and 48.9% were non-Indigenous white. Decarceration in the spring of 2020 benefitted all four race/Indigenous identity groups, with significant decreases in all four decarceration indicators for all groups. There was a significant interaction between COVID-19 decarceration and race/Indigenous identity group for the number of people in custody (p < 0.0001) and person-time in custody (p = 0.042), with decarceration disproportionately benefitting non-Indigenous white people. Compared with the period prior to April 2020, the relative rates of being in custody and of person-time in custody, respectively, were 0.70 (95% CI 0.68-0.73) and 0.73 (95% CI 0.70-0.76) for non-Indigenous white people, lower than those for Indigenous people: 0.76 (95% CI 0.72-0.81) and 0.82 (95% CI 0.76-0.88), non-Indigenous Black people: 0.76 (95% CI 0.74-0.78) and 0.79 (95% CI 0.76-0.81), and non-Indigenous non-Black racialized people: 0.76 (95% CI 0.73-0.79) and 0.79 (95% CI 0.76-0.83). Interpretation: Decarceration in Ontario in 2020 was inequitable, exacerbating the disproportionate exposure of people who are Indigenous and Black to time in custody and to the adverse health impacts associated with incarceration during the COVID-19 pandemic. These findings emphasize the need for targeted strategies to foster equitable health and justice outcomes, including during public health emergencies. Funding: Department of Family Medicine, McMaster University.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».