Approaches to Practice in Emergency Contexts: Post-Disaster Outlook on Black Communities in Toronto
Bibliographic record
Abstract
Throughout the early stages of the COVID-19 pandemic, the vulnerability of Black and other racialized communities in Canada emerged as a key concern for health and social service providers, policymakers, and researchers. A compounding of structurally generated inequalities affected income, access to health and social services, and susceptibility to contracting COVID-19. Black communities were a focal point that provided evidence to this disproportionate impact of the pandemic. This research presents findings of a grounded theory study of 20 front-line staff who provide social services at a Toronto-based agency. Utilizing a survey and in-depth interviews, the study explored how social service provisions to Black communities were understood and implemented and what the prospects were for future preparedness. Conceptually, a Sustainable Development Goals (SDGs) logic and a resilience lens were utilized to examine the agency’s capacity for developing sustainable partnerships with vulnerable communities, as framed by SDG 11—Sustainable Cities and (Inclusive and Resilient) Communities, and SDG 17—Sustainable Partnerships. Findings illustrate a sustainability challenge for supporting Black communities. The study recommends research on, and the utilization of practice models based on community-based resilience initiatives (CRIs) and an SDG logic in social service agencies to support interventions based on collaboration, inclusivity, and resilience in emergencies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.009 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".