Did COVID Change Everything or Nothing at All? Canadian Family Life During the COVID-19 Pandemic
Bibliographic record
Abstract
In March of 2020, Canada, along with the rest of the world, declared the COVID-19 pandemic a national emergency and responded with society-wide lockdowns, granting exceptions only for essential workers. Canadians across all demographic categories were significantly impacted, and many parents of children under 18 faced the difficult task of caring for their children while simultaneously meeting their work obligations. Using novel in-depth interview data from 30 Canadian parents (in 15 couples) collected between April 2022 and May 2023, I explore three main changes to family life resulting from the COVID-19 pandemic: expanded family-friendly work practices, increased time with nuclear family members, and fathers' increased contributions to childcare. My work builds on previous research in two important ways. First, it utilizes qualitative data to deepen our understanding of these early shifts; and second, it provides evidence for the durability (or lack thereof) of family changes beyond the initial lockdown stage of the pandemic and into the 'new normal.' With this approach, I find that family life changed dramatically during the pandemic and some of these changes were durable while others were not.
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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 | 0.002 |
| Science and technology studies | 0.029 | 0.006 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| 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".