Familydemic Cross Country and Gender Dataset on work and family outcomes during Covid-19 pandemic
Why this work is in the frame
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Bibliographic record
Abstract
Here we offer open access to the Familydemic Cross Country and Gender Dataset (FCCGD), which offers cross country and gender comparative data on work and family outcomes among parents of dependent children, before and during the Covid-19 pandemic. It covers six countries from two different continents representing diverse welfare regimes as well as policy reactions to the pandemic outbreak. The FCCGD was created using the first wave of a comparative, web-based international survey (Familydemic) carried out between June and September 2021, on representative samples of parents (aged 20-59) living with at least one child under 12 in Canada, Germany, Italy, Poland, Sweden and the US. While individual datasets are not available due to country-level restriction policies, the presented database allows for cross-country comparison of a wide range of employment outcomes and work arrangements, the division of diverse tasks of unpaid labour (housework and childcare) in couples, experiences with childcare and school closures due to pandemic and subjective assessments of changes to work-life balance, career prospects and the financial situation of families. The detailed description of how the dataset was created can be found in Data Descriptor published in Scientific Data (Springer Nature): https://rdcu.be/c2GwL IMPORTANT: Before accessing the data please DOWNLOAD IT as the built-in OSF browser distorts the tables.
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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 | 0.008 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.049 | 0.018 |
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 it