FAMILIES, TIME AND MONEY IN CANADA, GERMANY, SWEDEN, THE UNITED KINGDOM AND THE UNITED STATES
Bibliographic record
Abstract
Using microdata from the Luxembourg Income Study, we assess “time crunch” for families with children in Canada, Germany, Sweden, the U.K. and the U.S. Both theory and empirical evidence suggest that both time and money are important inputs to the well‐being of parents and children. We present cross‐country comparisons of “total available adult hours” under different assumptions about the varying time needs of families of different size. We also present estimates of “time shortages.” In all cases, we provide separate estimates for families located at different points in the country income distributions, since being short of both time and money is likely to be particularly problematic. Although paid work hours are highest for high‐income families, we nonetheless find significant numbers of lower‐income families in which parents work very long hours in the paid labor market; this is particularly the case in the U.S.
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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".