Family Stress and Coping Among African Americans in the Age of COVID-19
Bibliographic record
Abstract
The Coronavirus, also known as COVID-19 has wrecked havoc on the world’s economy, health, industry, education, and social systems. While the impact of the Coronavirus is being felt by millions of individuals in the United States, this manuscript will focus on the impact of COVID-19 on African Americans, examining it through the lens of family stress theory. This focus is deliberate because when compared to other racial groups, African Americans have a disproportionately higher rate of contracting and dying from the virus, are more likely to be poor, be employed as essential workers in low-paying service jobs that substantially increases their risk of contracting and dying from the virus, and experience poor physical health. In addition to the aforementioned, this work will discuss how various components of McCubbin and Patterson’s (1982) Double ABC-X Model of family stress relates to the physical, mental, and emotional health of African Americans. In addition to highlighting the unique stressors of Blacks, this work will provide future directions for researchers and practitioners.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".