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 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".