Navigating Parenthood in the Pandemic: Revealing the Trade-offs of Childcare Choices Through Conjoint Analysis
Bibliographic record
Abstract
Inequalities that emerged during COVID-19 pandemic highlight the need to examine parent constraints in their decision-making around work and early childhood education and care (ECEC). This paper draws on conjoint survey data from a representative sample of 976 parents from the four largest Canadian provinces to examine the trade-offs parents made regarding their child’s care during the pandemic. Demographic differences in parental income, employment status, and having a child with special needs shaped childcare preferences in different ways. Our analysis finds that the most important factor in parent decision-making was type of ECEC (with a strong preference for licensed arrangements), followed by choices related to health and safety during the pandemic. The conclusion considers policy implications, including the need for more targeted and inclusive approaches that address the varying needs and circumstances of parents to enhance the overall quality and accessibility of care services post-pandemic and beyond.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".