Addressing anti-Black racism within public health in North America: a scoping review
Bibliographic record
Abstract
OBJECTIVES: The syndemic that is COVID-19 and the disproportionate policing of Black communities have recently generated mass social consciousness of the anti-Black racism (ABR) pervading health, social, and cultural institutions. However, little is known about the implementation of public health measures addressing ABR in an evolving pandemic context. The objective of this scoping review is to provide an overview of public health initiatives undertaken to address ABR across North American jurisdictions between December 2019 and June 2022. METHODS: A search for public health initiatives was conducted in June 2021 across MEDLINE, Ovid Embase, EBSChost, CINAHL, SocINDEX, and Google.ca. Included initiatives were those focussing on Black, African diasporic, or African American communities in the North American context. Community-led action, as well as initiatives in primary healthcare care, academic journals, and those broadly focused on racialized communities, were excluded from this review. SYNTHESIS: Seventy-five articles were included in this review, suggesting that ABR emerged as a public health priority. Strategies and action plans to address structural ABR were the most common types of initiatives observed (n = 21), followed by programs or interventions (n = 16), budget allocations or investments (n = 8), task forces (n = 7), guidance and recommendations for organizational capacity (n = 8), action-oriented declarations of ABR as a public health crisis (n = 8), and legislation and mandates (n = 7). Initiatives were largely cross-cutting of two or more socioeconomic themes (n = 23), while organizational change was also common (n = 16). Gaps in the current literature include a lack of community participation and outcome measurement for actions identified, which limit institutional accountability to communities of interest. CONCLUSION: This research provides insights on public health accountability to social justice. This research outlines activities in upstream interventions, organizational transformation, and resource allocation in shaping anti-racist change, and require evaluation and input from those whom initiatives are intended to serve.
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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 | 0.017 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".