Determinants of work‐family balance satisfaction during the pandemic: Insights from Québec
Bibliographic record
Abstract
The first wave of the COVID pandemic was the most challenging for employed parents, and more specifically for women. In Québec, research has shown a deterioration in the psychological health of parents in the early weeks of the pandemic. In this research, we investigate how Québec parents who remained employed during the lockdown in 2020 perceived their work-family balance in the stressful context of new earning and caregiving constraints, drawing on survey data collected in May 2020. Our approach integrates insights from psychological, managerial and sociological literatures. We find that most parents who remained employed found their work-family balance "easy" in the first months of the pandemic, but women felt less satisfied with their work-family balance than men as well as those whose employers were less understanding and supportive, and those whose workloads increased. The implications of these results are discussed in the light of previous studies on work-family intersections, to show that gender continues to matter when family members are faced with extraordinary circumstances such as the closing of childcare and schools, even in the egalitarian context of Québec, where fathers are perceived as legitimate caregivers.
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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 | 0.004 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".