The Recover Study: A Cross-Sectional Examination of the Relationship Between Ontario Parents’ Resilience and COVID-19-Related Stressors
Bibliographic record
Abstract
Resilience, or the ability to bounce back despite facing adversities, may influence parents’ abilities to handle the multitude of parent-specific COVID-19-related challenges that have faced them. This cross-sectional study examined (1) the relationship between parents’ resilience and their COVID-19-related family stressors; (2) parents’ perceptions of their greatest stressors throughout the pandemic; and (3) non-school-related challenges and their resultant impact on parents’ and children's resilience. Via an online survey, data was collected from 63 parents (M age = 37.09; 82.54% female). A significant relationship was found between parents’ resilience and both their COVID-19-related stressors and family stressors. Parents described stressors challenging their resilience, including impacts on their mental health, managing occupational and educational responsibilities, social isolation, and economic setbacks, while also noting the impacts of social isolation, missing extracurricular activities, and lacking routines for their children. Overall, Ontario parents high in resilience are likely better positioned to adapt to pandemic-related stressors.
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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 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".