Whiteness in the COVID-19 Pandemic: Who is Talking About Racism With Their Kids?
Bibliographic record
Abstract
The present study investigated factors associated with parent awareness and socialization surrounding COVID-19-related racial disparities among White parents of children ages 1.5–8 living in Canada and the United States ( N = 423, 88% mothers). Participants responded to an online survey about parenting during the pandemic between mid to late-April 2020. Participants reported on their level of awareness of COVID-19-related racial disparities as well as how often they discussed these with their children. Although 52% reported some level of awareness, only 34% reported any amount of discussion with their child about it. Regression models were used to further examine stress-related, socioeconomic, parenting, and news-watching associations with awareness and socialization. This study provides unique insight into which White parents are aware of racial inequities exposed by the pandemic and which are choosing to speak to their children about them. Current summary recommendations for White racial socialization and related research are also presented.
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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 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".