HEALTH DISPARITIES, SOCIAL DETERMINANTS OF HEALTH, AND SYSTEMIC ANTI-BLACK RACISM DURING COVID-19: A CALL TO ACTION FOR SOCIAL WORK
Bibliographic record
Abstract
Systemic anti-Black racism is deeply rooted in the social, political, economic, ontological, and epistemological foundations of Canadian society. Driven by our code of ethics and the most recent call to reckon with anti-Black racism in society, the social work profession’s advocacy agenda requires reconceptualization to eradicate anti-Black racism and the creation of equitable environments within which Black communities can thrive. This article examines the anti-Black racism exhibited during the COVID-19 pandemic through the lens of health equity and health disparity. The interplay between health disparities, social determinants of health, and systemic anti-Black racism is highlighted and the urgency for social workers to respond to the causes of poor Black health outcomes is emphasized. Social workers are called upon to engage in a more intentional framework of Black health equity, which includes a practice that ensures the well-being and survival of Black people and their communities. The authors conclude that for the social work profession to reach its full potential, it must recognize and use its distinctive qualities to eradicate anti-Black racism.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.011 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".