College Family Coping and Disruptions During COVID-19: A Consideration of the ABC-X Model of Family Stress
Bibliographic record
Abstract
For many families, COVID-19 has disrupted students’ higher education experience. To better understand how COVID-19 has not just impacted students but family systems, in the current study, the ABC-X model of family stress was applied to college families. The COVID-19 pandemic created stressors for college families (A), which impacted families depending on the resources available to them (B). How the families understand and perceive these stressors has impacted students’ college experience (C). For college students and their families, an outcome of working to respond to these stressors could be delaying graduation, or changing academic plans (X). During October and November 2020, 3,932 parents of college students across the United States, representing more than 75 institutions, completed a 15-minute online survey. Findings revealed that families and students were differentially impacted by COVID-19, in the family stressors they experienced, and also in their academic stressors. What is particularly important in these data is that families matter—when families were supported, students did better and when parents reported a greater negative impact of COVID-19 they also reported students were less likely to maintain their graduation plans and more likely to change their academic plans. Incorporating a family lens into future research on college students is critical for advancing the field and supporting student success.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".