Perceived Impact of the COVID-19 Pandemic on Parents and Caregivers with Young Children: Results of a Mixed-Methods Canadian Survey
Bibliographic record
Abstract
Across the globe, the COVID-19 pandemic and the resulting public health measures significantly impacted the lives of families with young children. The emerging tensions surrounding the loss of social interactions for young children, 0-8 years, during the pandemic, as evident in recent literature, have sparked our interest. To explore this from a Canada-wide perspective, we delved into a subset of data from a national mixed methods survey conducted in 2021, examining the impact and projected psychological and social concerns of the COVID-19 pandemic. This subset included responses from 688 participants who identified as primary daily caregivers of children aged 0-8 years. The study employed descriptive statistics and thematic analysis to fill an evidence gap around the possible effects of the pandemic on caregivers' concerns for their child's social and emotional development. Findings revealed that parents/caregivers ranked their child's social and emotional development as their highest concern during and after the pandemic; connecting it to the loss or lack of socialization, increases in screen time, and the lack of participation in early years education and community programs. Moving forward from the pandemic, this study's results help us understand where focused attention may be needed to support young children's development and consider areas where parents stress may remain high post-pandemic, to inform service design and policy direction.
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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 | 0.006 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 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".