Bibliographic record
Abstract
Aim/Purpose: This article aims at exploring how systemic racism predisposes Canadian Blacks to COVID 19 infection, thereby raising the question as to whether Black Live Matters amid the COVID-19 pandemic. Background: Although many discourses about Blacks' vulnerability abound in the public media and academic literature, their vulnerabilities seem to have been overlooked amid the current COVID-19 global health crisis. Since COVID-19 was detected public health authorities deem older people, children, Indigenous people, and low-income Canadian families and those with weakened immune systems from underlying medical conditions as vulnerable to the pandemic. One group of people conspicuously missing from the vulnerable groups’ list is Black people. Drawing on evidence-based data from secondary sources, the article demonstrates that the gravities of the COVID-19 pandemic are deepening racial inequalities in Canada. The article also illustrates how many Black people and other racialized groups are at increased risk of COVID 19 infections and deaths due to a longstanding health inequality. Methodology: This study relies on evidence-based data drawn from various secondary sources, including academic papers, policy briefs, government reports, credible media sources, press notes and advisories, current newspapers, and online media reportage of the unfolding health crisis about COVID-19 to demonstrate that the gravities of the COVID-19 pandemic are deepening racial inequalities in Canada. Although research that articulates existing studies on Black people and the COVID-19 pandemic is very scanty, this paper is mostly exploratory as it emphasizes synthesizing secondary sources of literature review. Findings: The study finds that many Black people and other racialized groups are at increased risk of COVID 19 infections and deaths due to a longstanding health inequality. Further, the paper demonstrates that, historically, social determinants of health have prevented Black people from equal access to economic, social and healthcare opportunities. And thus, have exposed a longstanding systemic racism in employment, housing, education, and healthcare. Finally, the paper recommends two innovative strategies to achieve social transformation: 1) Black Canadians should shift from vulnerability to recognizing their vitalities/resiliencies and 2) building allyships with other oppressed groups to stop the spread of the two pandemics: anti-black racism and COVID-19. Impact on Society: This paper does not only contribute to our knowledge about the challenges Black people experience during the pandemic, but also enhances our understanding about the innovative strategy to defeat anti-black racism. This strategy implies that the time has come for Black Canadians to move beyond their vulnerabilities to discover their vitality and agency – moving from the discourse of victim hood to resilience, agency, vitality and creativity
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.008 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".